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Richard J. B. Dobson
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- affiliation: Kings College London, UK
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2020 – today
- 2024
- [j40]Yatharth Ranjan, Jiangeng Chang, Heet Sankesara, Pauline Conde, Zulqarnain Rashid, Richard J. B. Dobson, Amos Folarin:
RADAR-IoT: An Open-Source, Interoperable, and Extensible IoT Gateway Framework for Health Research. Sensors 24(14): 4614 (2024) - [j39]Marco Postiglione, Daniel Bean, Zeljko Kraljevic, Richard J. B. Dobson, Vincenzo Moscato:
Predicting Future Disorders via Temporal Knowledge Graphs and Medical Ontologies. IEEE J. Biomed. Health Informatics 28(7): 4238-4248 (2024) - [c35]Paula Andrea Pérez-Toro, Judith Dineley, Agnieszka Kaczkowska, Pauline Conde, Yuezhou Zhang, Faith Matcham, Sara Siddi, Josep Maria Haro, Stuart Bruce, Til Wykes, Raquel Bailón, Srinivasan Vairavan, Richard J. B. Dobson, Andreas K. Maier, Elmar Nöth, Juan Rafael Orozco-Arroyave, Vaibhav A. Narayan, Nicholas Cummins:
Longitudinal Modeling of Depression Shifts Using Speech and Language. ICASSP 2024: 12021-12025 - [c34]Kawsar Noor, Katherine Smith, Jade O'Connell, Niamh Ingram, Baptiste Briot Ribeyre, Tom Searle, Wai Keong Wong, Richard J. B. Dobson:
Detecting Clinical Intent in Electronic Healthcare Records in a UK National Healthcare Hospital. ICHI 2024: 484-489 - [i34]Linglong Qian, Zina M. Ibrahim, Richard J. B. Dobson:
Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation. CoRR abs/2401.02258 (2024) - [i33]Linglong Qian, Zina M. Ibrahim, Wenjie Du, Yiyuan Yang, Richard J. B. Dobson:
Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation. CoRR abs/2405.17508 (2024) - [i32]Nicholas Cummins, Lauren L. White, Zahia Rahman, Catriona Lucas, Tian Pan, Ewan Carr, Faith Matcham, Johnny Downs, Richard J. B. Dobson, Judith Dineley:
A pilot protocol and cohort for the investigation of non-pathological variability in speech. CoRR abs/2406.07497 (2024) - [i31]Linglong Qian, Tao Wang, Jun Wang, Hugh Logan Ellis, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim:
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. CoRR abs/2407.08442 (2024) - [i30]Shubham Agarwal, Thomas Searle, Mart Ratas, Anthony Shek, James T. Teo, Richard J. B. Dobson:
Improving Extraction of Clinical Event Contextual Properties from Electronic Health Records: A Comparative Study. CoRR abs/2408.17181 (2024) - [i29]Yuezhou Zhang, Callum L. Stewart, Yatharth Ranjan, Pauline Conde, Heet Sankesara, Zulqarnain Rashid, Shaoxiong Sun, Richard J. B. Dobson, Amos A. Folarin:
Large-scale digital phenotyping: identifying depression and anxiety indicators in a general UK population with over 10,000 participants. CoRR abs/2409.16339 (2024) - 2023
- [j38]Heather Marriott, Renata Kabiljo, Ahmad Al Khleifat, Richard J. B. Dobson, Ammar Al-Chalabi, Alfredo Iacoangeli:
DNAscan2: a versatile, scalable, and user-friendly analysis pipeline for human next-generation sequencing data. Bioinform. 39(4) (2023) - [j37]Joshua Au Yeung, Zeljko Kraljevic, Akish Luintel, Alfred Balston, Esther Idowu, Richard J. B. Dobson, James T. Teo:
AI chatbots not yet ready for clinical use. Frontiers Digit. Health 5 (2023) - [j36]Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models. J. Biomed. Informatics 141: 104358 (2023) - [j35]Yuezhou Zhang, Abhishek Pratap, Amos A. Folarin, Shaoxiong Sun, Nicholas Cummins, Faith Matcham, Srinivasan Vairavan, Judith Dineley, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Katie M. White, Carolin Oetzmann, Alina Ivan, Femke Lamers, Sara Siddi, Carla Hernández Rambla, Sara Simblett, Raluca Nica, David C. Mohr, Inez Myin-Germeys, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Peter Annas, Vaibhav A. Narayan, Matthew Hotopf, Richard J. B. Dobson:
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. npj Digit. Medicine 6 (2023) - [j34]Spyridon Kontaxis, Estela Laporta, Esther García, Matteo Martinis, Letizia Leocani, Lucia Roselli, Mathias Due Buron, Ana Isabel Guerrero, Ana Zabalza, Nicholas Cummins, Srinivasan Vairavan, Matthew Hotopf, Richard J. B. Dobson, Vaibhav A. Narayan, Maria Libera La Porta, Gloria Dalla Costa, Melinda Magyari, Per Soelberg Sørensen, Carlos Nos, Raquel Bailón, Giancarlo Comi, RADAR-CNS Consortium:
Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis. Sensors 23(13): 6017 (2023) - [j33]Yamiko Joseph Msosa, Arturas Grauslys, Yifan Zhou, Tao Wang, Iain E. Buchan, Paul Langan, Steven Foster, Michael Walker, Michael Pearson, Amos Folarin, Angus Roberts, Simon Maskell, Richard J. B. Dobson, Cecil Kullu, Dennis Kehoe:
Trustworthy Data and AI Environments for Clinical Prediction: Application to Crisis-Risk in People With Depression. IEEE J. Biomed. Health Informatics 27(11): 5588-5598 (2023) - [c33]Zeljko Kraljevic, Anthony Shek, Joshua Au Yeung, Ewart Jonathan Sheldon, Haris Shuaib, Mohammad Al-Agil, Xi Bai, Kawsar Noor, Anoop D. Shah, Richard J. B. Dobson, James T. Teo:
Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare. ICHI 2023: 544-549 - [c32]Edward L. Campbell, Judith Dineley, Pauline Conde, Faith Matcham, Katie M. White, Carolin Oetzmann, Sara Simblett, Stuart Bruce, Amos A. Folarin, Til Wykes, Srinivasan Vairavan, Richard J. B. Dobson, Laura Docío Fernández, Carmen García-Mateo, Vaibhav A. Narayan, Matthew Hotopf, Nicholas Cummins:
Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models. INTERSPEECH 2023: 1738-1742 - [c31]Judith Dineley, Ewan Carr, Faith Matcham, Johnny Downs, Richard J. B. Dobson, Thomas F. Quatieri, Nicholas Cummins:
Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech. INTERSPEECH 2023: 2373-2377 - [c30]Linglong Qian, Zina M. Ibrahim, Ao Zhang, Richard J. B. Dobson:
Addressing Class Imbalance in Electronic Health Records Data Imputation. KDH@IJCAI 2023 - [i28]Judith Dineley, Ewan Carr, Faith Matcham, Johnny Downs, Richard J. B. Dobson, Thomas F. Quatieri, Nicholas Cummins:
Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech. CoRR abs/2305.12514 (2023) - [i27]Zulqarnain Rashid, Amos A. Folarin, Yatharth Ranjan, Pauline Conde, Heet Sankesara, Yuezhou Zhang, Shaoxiong Sun, Callum L. Stewart, Petroula Laiou, Richard J. B. Dobson:
Disease Insight through Digital Biomarkers Developed by Remotely Collected Wearables and Smartphone Data. CoRR abs/2308.02043 (2023) - [i26]Yuezhou Zhang, Amos A. Folarin, Judith Dineley, Pauline Conde, Valeria de Angel, Shaoxiong Sun, Yatharth Ranjan, Zulqarnain Rashid, Callum L. Stewart, Petroula Laiou, Heet Sankesara, Linglong Qian, Faith Matcham, Katie M. White, Carolin Oetzmann, Femke Lamers, Sara Siddi, Sara Simblett, Björn W. Schuller, Srinivasan Vairavan, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Vaibhav A. Narayan, Matthew Hotopf, Richard J. B. Dobson, Nicholas Cummins, RADAR-CNS Consortium:
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. CoRR abs/2308.11773 (2023) - [i25]Zeljko Kraljevic, Anthony Shek, Joshua Au Yeung, Ewart Jonathan Sheldon, Mohammad Al-Agil, Haris Shuaib, Xi Bai, Kawsar Noor, Anoop D. Shah, Richard J. B. Dobson, James T. Teo:
Validating transformers for redaction of text from electronic health records in real-world healthcare. CoRR abs/2310.04468 (2023) - [i24]Linglong Qian, Zina M. Ibrahim, Hugh Logan Ellis, Ao Zhang, Yuezhou Zhang, Tao Wang, Richard J. B. Dobson:
Knowledge Enhanced Conditional Imputation for Healthcare Time-series. CoRR abs/2312.16713 (2023) - 2022
- [j32]Shaoxiong Sun, Amos A. Folarin, Yuezhou Zhang, Nicholas Cummins, Shuo Liu, Callum L. Stewart, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Petroula Laiou, Heet Sankesara, Gloria Dalla Costa, Letizia Leocani, Per Soelberg Sørensen, Melinda Magyari, Ana Isabel Guerrero, Ana Zabalza, Srinivasan Vairavan, Raquel Bailón, Sara Simblett, Inez Myin-Germeys, Aki Rintala, Til Wykes, Vaibhav A. Narayan, Matthew Hotopf, Giancarlo Comi, Richard J. B. Dobson:
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions. Comput. Methods Programs Biomed. 227: 107204 (2022) - [j31]Harry Bowles, Renata Kabiljo, Ahmad Al Khleifat, Ashley Jones, John P. Quinn, Richard J. B. Dobson, Chad M. Swanson, Ammar Al-Chalabi, Alfredo Iacoangeli:
An assessment of bioinformatics tools for the detection of human endogenous retroviral insertions in short-read genome sequencing data. Frontiers Bioinform. 2 (2022) - [j30]Václav Papez, Maxim Moinat, Erica A. Voss, Sofia Bazakou, Anne Van Winzum, Alessia Peviani, Stefan Payralbe, Elena Garcia Lara, Michael Kallfelz, Folkert W. Asselbergs, Daniel Prieto-Alhambra, Richard J. B. Dobson, Spiros C. Denaxas:
Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond. J. Am. Medical Informatics Assoc. 30(1): 103-111 (2022) - [j29]Tao Wang, Rebecca Bendayan, Yamiko Msosa, Megan Pritchard, Angus Roberts, Robert Stewart, Richard J. B. Dobson:
Patient-centric characterization of multimorbidity trajectories in patients with severe mental illnesses: A temporal bipartite network modeling approach. J. Biomed. Informatics 127: 104010 (2022) - [j28]Dipen Patel, Yamiko Msosa, Tao Wang, Omar G. Mustafa, Siobhan Gee, Julie Williams, Angus Roberts, Richard J. B. Dobson, Fiona Gaughran:
An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack. BMC Medical Informatics Decis. Mak. 22(1): 100 (2022) - [j27]Guy P. Hunt, Luigi Grassi, Rafael Henkin, Fabrizio Smeraldi, Thomas P. Spargo, Renata Kabiljo, Sulev Koks, Zina M. Ibrahim, Richard J. B. Dobson, Ammar Al-Chalabi, Michael R. Barnes, Alfredo Iacoangeli:
GEOexplorer: a webserver for gene expression analysis and visualisation. Nucleic Acids Res. 50(W1): 367-374 (2022) - [j26]Valeria de Angel, Serena Lewis, Katie M. White, Carolin Oetzmann, Daniel Leightley, Emanuela Oprea, Grace Lavelle, Faith Matcham, Alice Pace, David C. Mohr, Richard J. B. Dobson, Matthew Hotopf:
Digital health tools for the passive monitoring of depression: a systematic review of methods. npj Digit. Medicine 5 (2022) - [j25]Honghan Wu, Minhong Wang, Jinge Wu, Farah Francis, Yun-Hsuan Chang, Alex Shavick, Hang Dong, Michael Tin Chung Poon, Natalie K. Fitzpatrick, Adam P. Levine, Luke T. Slater, Alex Handy, Andreas Karwath, Georgios V. Gkoutos, Claude Chelala, Anoop D. Shah, Robert Stewart, Nigel Collier, Beatrice Alex, William Whiteley, Cathie Sudlow, Angus Roberts, Richard J. B. Dobson:
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. npj Digit. Medicine 5 (2022) - [j24]Shuo Liu, Jing Han, Estela Laporta Puyal, Spyridon Kontaxis, Shaoxiong Sun, Patrick Locatelli, Judith Dineley, Florian B. Pokorny, Gloria Dalla Costa, Letizia Leocani, Ana Isabel Guerrero, Carlos Nos, Ana Zabalza, Per Soelberg Sørensen, Mathias Buron, Melinda Magyari, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Amos A. Folarin, Richard J. B. Dobson, Raquel Bailón, Srinivasan Vairavan, Nicholas Cummins, Vaibhav A. Narayan, Matthew Hotopf, Giancarlo Comi, Björn W. Schuller, RADAR-CNS Consortium:
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder. Pattern Recognit. 123: 108403 (2022) - [j23]Zina M. Ibrahim, Daniel Bean, Thomas Searle, Linglong Qian, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson:
A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data. IEEE J. Biomed. Health Informatics 26(1): 423-435 (2022) - [c29]Yatharth Ranjan, Heet Sankesara, Pauline Conde, Jiangeng Chang, Zulqarnain Rashid, Richard J. B. Dobson, Amos A. Folarin:
RADAR-IoT: An open-source, interoperable and extensible IoT gateway framework for healthcare and beyond. UbiComp/ISWC Adjunct 2022: 102-104 - [c28]Yu Deng, Yang Wen, Linglong Qian, Esther Puyol-Antón, Hao Xu, Kuberan Pushparajah, Zina M. Ibrahim, Richard J. B. Dobson, Alistair A. Young:
Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation. STACOM@MICCAI 2022: 26-35 - [c27]Jack Wu, Zeljko Kraljevic, Thomas Searle, Daniel Bean, Richard J. B. Dobson:
CogStack Cohort at TREC 2022 Clinical Trials Track. TREC 2022 - [i23]Kawsar Noor, Katherine Smith, Julia Bennett, Jade O'Connell, Jessica Fisk, Monika Hunt, Gary Philippo, Teresa Xu, Simon Knight, Luis Romao, Richard J. B. Dobson, Wai Keong Wong:
Predicting Clinical Intent from Free Text Electronic Health Records. CoRR abs/2204.09594 (2022) - [i22]Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Summarisation of Electronic Health Records with Clinical Concept Guidance. CoRR abs/2211.07126 (2022) - [i21]Zeljko Kraljevic, Daniel Bean, Anthony Shek, Rebecca Bendayan, Joshua Au Yeung, Alexander Deng, Alfie Baston, Jack Ross, Esther Idowu, James T. Teo, Richard J. B. Dobson:
Foresight - Deep Generative Modelling of Patient Timelines using Electronic Health Records. CoRR abs/2212.08072 (2022) - 2021
- [j22]Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A. Folarin, Angus Roberts, Rebecca Bendayan, Mark P. Richardson, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit. Artif. Intell. Medicine 117: 102083 (2021) - [j21]Aurelie Mascio, Robert Stewart, Riley Botelle, Marcus Williams, Luwaiza Mirza, Rashmi Patel, Thomas Pollak, Richard J. B. Dobson, Angus Roberts:
Cognitive Impairments in Schizophrenia: A Study in a Large Clinical Sample Using Natural Language Processing. Frontiers Digit. Health 3: 711941 (2021) - [j20]Honghan Wu, Huayu Zhang, Andreas Karwath, Zina M. Ibrahim, Ting Shi, Xin Zhang, Kun Wang, Jiaxing Sun, Kevin Dhaliwal, Daniel Bean, Victor Roth Cardoso, Kezhi Li, James T. Teo, Amitava Banerjee, Fang Gao-Smith, Tony Whitehouse, Tonny Veenith, Georgios V. Gkoutos, Xiaodong Wu, Richard J. B. Dobson, Bruce Guthrie:
Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. J. Am. Medical Informatics Assoc. 28(4): 791-800 (2021) - [j19]Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Estimating redundancy in clinical text. J. Biomed. Informatics 124: 103938 (2021) - [j18]Alvina Grace Lai, Wai Hoong Chang, Constantinos A. Parisinos, Michail Katsoulis, Ruth M. Blackburn, Anoop D. Shah, Vincent Nguyen, Spiros C. Denaxas, George Davey Smith, Tom R. Gaunt, Krishnarajah Nirantharakumar, Murray P. Cox, Donall Forde, Folkert W. Asselbergs, Steve K. Harris, Sylvia Richardson, Reecha Sofat, Richard J. B. Dobson, Aroon D. Hingorani, Riyaz Patel, Jonathan Sterne, Amitava Banerjee, Alastair K. Denniston, Simon Ball, Neil J. Sebire, Nigam H. Shah, Graham R. Foster, Bryan Williams, Harry Hemingway:
An informatics consult approach for generating clinical evidence for treatment decisions. BMC Medical Informatics Decis. Mak. 21(1): 281 (2021) - [j17]Jiajing Hu, Rosalba Lepore, Richard J. B. Dobson, Ammar Al-Chalabi, Daniel Bean, Alfredo Iacoangeli:
DGLinker: flexible knowledge-graph prediction of disease-gene associations. Nucleic Acids Res. 49(Webserver-Issue): 153-161 (2021) - [j16]Berber T. Snoeijer, Mariska Burger, Shaoxiong Sun, Richard J. B. Dobson, Amos A. Folarin:
Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data. npj Digit. Medicine 4 (2021) - [j15]James T. Teo, Vlad Dinu, William Bernal, Phil Davidson, Vitaliy Oliynyk, Cormac Breen, Richard D. Barker, Richard J. B. Dobson:
Real-time clinician text feeds from electronic health records. npj Digit. Medicine 4 (2021) - [c26]Judith Dineley, Grace Lavelle, Daniel Leightley, Faith Matcham, Sara Siddi, Maria Teresa Peñarrubia-María, Katie M. White, Alina Ivan, Carolin Oetzmann, Sara Simblett, Erin Dawe-Lane, Stuart Bruce, Daniel Stahl, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Amos A. Folarin, Josep Maria Haro, Til Wykes, Richard J. B. Dobson, Vaibhav A. Narayan, Matthew Hotopf, Björn W. Schuller, Nicholas Cummins, RADAR-CNS Consortium:
Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder. Interspeech 2021: 631-635 - [i20]Shuo Liu, Jing Han, Estela Laporta Puyal, Spyridon Kontaxis, Shaoxiong Sun, Patrick Locatelli, Judith Dineley, Florian B. Pokorny, Gloria Dalla Costa, Letizia Leocani, Ana Isabel Guerrero, Carlos Nos, Ana Zabalza, Per Soelberg Sørensen, Mathias Buron, Melinda Magyari, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Amos A. Folarin, Richard J. B. Dobson, Raquel Bailón, Srinivasan Vairavan, Nicholas Cummins, Vaibhav A. Narayan, Matthew Hotopf, Giancarlo Comi, Björn W. Schuller:
Fitbeat: COVID-19 Estimation based on Wristband Heart Rate. CoRR abs/2104.09263 (2021) - [i19]Yuezhou Zhang, Amos A. Folarin, Shaoxiong Sun, Nicholas Cummins, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Petroula Laiou, Faith Matcham, Carolin Oetzmann, Femke Lamers, Sara Siddi, Sara Simblett, Aki Rintala, David C. Mohr, Inez Myin-Germeys, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Vaibhav A. Narayan, Peter Annas, Matthew Hotopf, Richard J. B. Dobson:
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study. CoRR abs/2104.12407 (2021) - [i18]Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Estimating Redundancy in Clinical Text. CoRR abs/2105.11832 (2021) - [i17]Zeljko Kraljevic, Anthony Shek, Daniel Bean, Rebecca Bendayan, James T. Teo, Richard J. B. Dobson:
MedGPT: Medical Concept Prediction from Clinical Narratives. CoRR abs/2107.03134 (2021) - [i16]Kawsar Noor, Lukasz Roguski, Alex Handy, Roman Klapaukh, Amos Folarin, Luis Romao, Joshua Matteson, Nathan Lea, Leilei Zhu, Wai Keong Wong, Anoop D. Shah, Richard J. B. Dobson:
Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals. CoRR abs/2108.06835 (2021) - 2020
- [j14]Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi:
On classifying sepsis heterogeneity in the ICU: insight using machine learning. J. Am. Medical Informatics Assoc. 27(3): 437-443 (2020) - [j13]Hegler Correa Tissot, Anoop D. Shah, David Brealey, Steve K. Harris, Ruth Agbakoba, Amos Folarin, Luis Romao, Lukasz Roguski, Richard J. B. Dobson, Folkert W. Asselbergs:
Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial. IEEE J. Biomed. Health Informatics 24(10): 2950-2959 (2020) - [c25]Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson:
Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset. BioNLP 2020: 76-85 - [c24]Aurelie Mascio, Zeljko Kraljevic, Daniel Bean, Richard J. B. Dobson, Robert Stewart, Rebecca Bendayan, Angus Roberts:
Comparative Analysis of Text Classification Approaches in Electronic Health Records. BioNLP 2020: 86-94 - [c23]Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson:
Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. ECAI 2020: 1826-1833 - [c22]Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson:
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech. INTERSPEECH 2020: 2192-2196 - [i15]Ehtesham Iqbal, Risha Govind, Alvin Romero, Olubanke Dzahini, Matthew T. W. Broadbent, Robert Stewart, Tanya Smith, Chi-Hun Kim, Nomi Werbeloff, Richard J. B. Dobson, Zina M. Ibrahim:
The side effect profile of Clozapine in real world data of three large mental hospitals. CoRR abs/2001.09698 (2020) - [i14]Rebecca Bendayan, Honghan Wu, Zeljko Kraljevic, Robert Stewart, Tom Searle, Jaya Chaturvedi, Jayati Das-Munshi, Zina M. Ibrahim, Aurelie Mascio, Angus Roberts, Daniel Bean, Richard J. B. Dobson:
Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR. CoRR abs/2002.08901 (2020) - [i13]Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson:
Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. CoRR abs/2004.01431 (2020) - [i12]Shaoxiong Sun, Amos Folarin, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Nicholas Cummins, Faith Matcham, Gloria Dalla Costa, Letizia Leocani, Per Soelberg Sørensen, Mathias Buron, Ana Isabel Guerrero, Ana Zabalza, Brenda W. J. H. Penninx, Femke Lamers, Sara Siddi, Josep Maria Haro, Inez Myin-Germeys, Aki Rintala, Vaibhav A. Narayan, Giancarlo Comi, Matthew Hotopf, Richard J. B. Dobson:
Using smartphones and wearable devices to monitor behavioural changes during COVID-19. CoRR abs/2004.14331 (2020) - [i11]Aurelie Mascio, Zeljko Kraljevic, Daniel Bean, Richard J. B. Dobson, Robert Stewart, Rebecca Bendayan, Angus Roberts:
Comparative Analysis of Text Classification Approaches in Electronic Health Records. CoRR abs/2005.06624 (2020) - [i10]Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson:
Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset. CoRR abs/2006.07332 (2020) - [i9]Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson:
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech. CoRR abs/2006.07358 (2020) - [i8]Berber T. Snoeijer, Mariska Burger, Shaoxiong Sun, Richard J. B. Dobson, Amos A. Folarin:
Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data. CoRR abs/2009.09648 (2020) - [i7]Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A. Folarin, Angus Roberts, Rebecca Bendayan, Mark P. Richardson, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit. CoRR abs/2010.01165 (2020) - [i6]Zina M. Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson:
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data. CoRR abs/2011.09361 (2020)
2010 – 2019
- 2019
- [j12]Hegler Tissot, Richard J. B. Dobson:
Combining string and phonetic similarity matching to identify misspelt names of drugs in medical records written in Portuguese. J. Biomed. Semant. 10(1): 17:1-17:7 (2019) - [j11]Anoop D. Shah, Emily Bailey, Tim Williams, Spiros C. Denaxas, Richard J. B. Dobson, Harry Hemingway:
Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death. J. Biomed. Semant. 10(1): 20:1-20:10 (2019) - [j10]Alfredo Iacoangeli, Ahmad Al Khleifat, William Sproviero, Aleksey Shatunov, A. R. Jones, S. L. Morgan, Alan Pittman, Richard J. B. Dobson, S. J. Newhouse, Ammar Al-Chalabi:
DNAscan: personal computer compatible NGS analysis, annotation and visualisation. BMC Bioinform. 20(1): 213:1-213:10 (2019) - [j9]Spiros C. Denaxas, Arturo Gonzalez-Izquierdo, Kenan Direk, Natalie K. Fitzpatrick, Ghazaleh Fatemifar, Amitava Banerjee, Richard J. B. Dobson, Laurence J. Howe, Valerie Kuan, R. Tom Lumbers, Laura Pasea, Riyaz S. Patel, Anoop D. Shah, Aroon D. Hingorani, Cathie Sudlow, Harry Hemingway:
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. J. Am. Medical Informatics Assoc. 26(12): 1545-1559 (2019) - [c21]Thomas Searle, Zeljko Kraljevic, Rebecca Bendayan, Daniel Bean, Richard J. B. Dobson:
MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation. EMNLP/IJCNLP (3) 2019: 139-144 - [c20]Yatharth Ranjan, Amos A. Folarin, Callum L. Stewart, Pauline Conde, Richard J. B. Dobson, Zulqarnain Rashid:
Challenges & solutions in a hybrid mHealth mobile app. UbiComp/ISWC Adjunct 2019: 183-186 - [c19]Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon, Eyad Elyan, Zina M. Ibrahim, Oya Celikutan, Richard J. B. Dobson, Stephen J. McKenna, Jacqui Morris, Annalu Waller, Raed A. Abd-Alhammed, Rami Qahwaji, Ray Chaudhuri:
Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. KDH@IJCAI 2019: 60-67 - [i5]Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I. Morley, Zina M. Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard J. B. Dobson, Cathie Sudlow:
Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification. CoRR abs/1903.03995 (2019) - [i4]Thomas Searle, Zeljko Kraljevic, Rebecca Bendayan, Daniel Bean, Richard J. B. Dobson:
MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation. CoRR abs/1907.07322 (2019) - [i3]Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi:
On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning. CoRR abs/1912.00672 (2019) - [i2]Zeljko Kraljevic, Daniel Bean, Aurelie Mascio, Lukasz Roguski, Amos Folarin, Angus Roberts, Rebecca Bendayan, Richard J. B. Dobson:
MedCAT - Medical Concept Annotation Tool. CoRR abs/1912.10166 (2019) - 2018
- [j8]Honghan Wu, Giulia Toti, Katherine I. Morley, Zina M. Ibrahim, Amos Folarin, Richard G. Jackson, Ismail Emre Kartoglu, Asha Agrawal, Clive Stringer, Darren Gale, Genevieve Gorrell, Angus Roberts, Matthew T. M. Broadbent, Robert Stewart, Richard J. B. Dobson:
SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research. J. Am. Medical Informatics Assoc. 25(5): 530-537 (2018) - [j7]Richard G. Jackson, Ismail Emre Kartoglu, Clive Stringer, Genevieve Gorrell, Angus Roberts, Xingyi Song, Honghan Wu, Asha Agrawal, Kenneth Lui, Tudor Groza, Damian Lewsley, Doug Northwood, Amos Folarin, Robert Stewart, Richard J. B. Dobson:
CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital. BMC Medical Informatics Decis. Mak. 18(1): 47:1-47:13 (2018) - [c18]Yatharth Ranjan, Maximilian Kerz, Zulqarnain Rashid, Sebastian Böttcher, Richard J. B. Dobson, Amos A. Folarin:
RADAR-base: A Novel Open Source m-Health Platform. UbiComp/ISWC Adjunct 2018: 223-226 - [c17]Zulqarnain Rashid, Callum L. Stewart, Sebastian Böttcher, Yatharth Ranjan, Richard J. B. Dobson, Amos A. Folarin:
RADAR-base: Epilepsy Case Study. UbiComp/ISWC Adjunct 2018: 227-230 - [c16]Callum L. Stewart, Zulqarnain Rashid, Yatharth Ranjan, Shaoxiong Sun, Richard J. B. Dobson, Amos A. Folarin:
RADAR-base: Major Depressive Disorder and Epilepsy Case Studies. UbiComp/ISWC Adjunct 2018: 1735-1743 - [i1]Spiros C. Denaxas, Pontus Stenetorp, Sebastian Riedel, Maria Pikoula, Richard J. B. Dobson, Harry Hemingway:
Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data. CoRR abs/1811.11005 (2018) - 2017
- [j6]Honghan Wu, Anika Oellrich, Christine Girges, Bernard de Bono, Tim J. P. Hubbard, Richard J. B. Dobson:
Automated PDF highlighting to support faster curation of literature for Parkinson's and Alzheimer's disease. Database J. Biol. Databases Curation 2017: bax027 (2017) - [c15]Chandra Pandey, Zina M. Ibrahim, Honghan Wu, Ehtesham Iqbal, Richard J. B. Dobson:
Improving RNN with Attention and Embedding for Adverse Drug Reactions. DH 2017: 67-71 - [c14]Christopher Ormandy, Zina M. Ibrahim, Richard J. B. Dobson:
Learning Patient Similarity Using Joint Distributed Embeddings of Treatment and Diagnoses. KDH@IJCAI 2017: 30-35 - [c13]Hui Wang, Quan Sun, Anika Oellrich, Honghan Wu, Richard J. B. Dobson:
The psycho-env corpus: research articles annotated for knowledge discovery on correlating mental diseases and environmental factors. KDH@IJCAI 2017: 36-40 - [e1]Zina M. Ibrahim, Honghan Wu, Kerstin Bach, Richard J. B. Dobson, Spiros C. Denaxas, Nirmalie Wiratunga, Stewart Massie, Sadiq Sani:
Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 20, 2017. CEUR Workshop Proceedings 1891, CEUR-WS.org 2017 [contents] - 2016
- [c12]Maximilian Kerz, Amos Folarin, Nicholas Meyer, Mark Begale, James MacCabe, Richard J. B. Dobson:
SleepSight: a wearables-based relapse prevention system for schizophrenia. UbiComp Adjunct 2016: 113-116 - [c11]George Gkotsis, Anika Oellrich, Tim J. P. Hubbard, Richard J. B. Dobson, Maria Liakata, Sumithra Velupillai, Rina Dutta:
The language of mental health problems in social media. CLPsych@HLT-NAACL 2016: 63-73 - [c10]Matthias König, Anika Oellrich, Dagmar Waltemath, Richard J. B. Dobson, Tim J. P. Hubbard, Olaf Wolkenhauer:
Challenges and opportunities for system biology standards and tools in medical research. ODLS 2016: 1-6 - [c9]Zina M. Ibrahim, Honghan Wu, Robbie Mallah, Richard J. B. Dobson:
Category-Driven Association Rule Mining. SGAI Conf. 2016: 21-35 - [c8]Honghan Wu, Zina M. Ibrahim, Ehtesham Iqbal, Richard J. B. Dobson:
Encoding Medication Episodes for Adverse Drug Event Prediction. SGAI Conf. 2016: 245-250 - 2015
- [c7]Zina M. Ibrahim, Lorena Fernández de la Cruz, Argyris K. Stringaris, Robert Goodman, Michael Luck, Richard J. B. Dobson:
A Multi-Agent Platform for Automating the Collection of Patient-Provided Clinical Feedback. AAMAS 2015: 831-839 - [c6]Hans-Joachim Böckenhauer, Richard J. B. Dobson, Sacha Krug, Kathleen Steinhöfel:
On Energy-Efficient Computations With Advice. COCOON 2015: 747-758 - 2014
- [j5]Richard J. B. Dobson, Patricia B. Munroe, Mark J. Caulfield, Mansoor A. S. Saqi:
Protein interaction networks associated with cardiovascular disease and cancer: exploring the effect of bias on shared network properties. Int. J. Data Min. Bioinform. 9(4): 339-357 (2014) - [c5]Richard G. Jackson, Michael Ball, Rashmi Patel, Richard D. Hayes, Richard J. B. Dobson, Robert Stewart:
TextHunter - A User Friendly Tool for Extracting Generic Concepts from Free Text in Clinical Research. AMIA 2014 - [c4]Zina M. Ibrahim, Robbie Mallah, Richard J. B. Dobson:
Towards Using Rule-Based Multi-agent System for the Early Detection of Adverse Drug Reactions. FLAIRS 2014 - 2013
- [j4]Joo Wook Ahn, Abhishek Dixit, Caroline E. Johnston, Caroline M. Ogilvie, David A. Collier, Sarah Curran, Richard J. B. Dobson:
BBGRE: brain and body genetic resource exchange. Database J. Biol. Databases Curation 2013 (2013) - [c3]Zina M. Ibrahim, Stephen Newhouse, Richard J. B. Dobson:
Detecting epistasis in the presence of linkage disequilibrium: A focused comparison. CIBCB 2013: 96-103 - [c2]Richard J. B. Dobson, Kathleen Steinhöfel:
Sa based power efficient FPGA LUT mapping. GECCO (Companion) 2013: 1545-1552
2000 – 2009
- 2009
- [j3]Richard J. B. Dobson, Patricia B. Munroe, Mark J. Caulfield, Mansoor A. S. Saqi:
Global sequence properties for superfamily prediction: a machine learning approach. J. Integr. Bioinform. 6(1) (2009) - [j2]Mansoor A. S. Saqi, Richard J. B. Dobson, Preben Kraben, David A. Hodgson, David L. Wild:
An approach to pathway reconstruction using whole genome metabolic models and sensitive sequence searching. J. Integr. Bioinform. 6(1) (2009) - 2008
- [c1]Richard J. B. Dobson, Patricia B. Munroe, Charles A. Mein, Mark J. Caulfield, Mansoor A. S. Saqi:
Combining Protein-Protein Interaction (PPI) Network and Sequence Attributes for Predicting Hypertension Related Proteins. BIRD 2008: 377-391 - 2006
- [j1]Richard J. B. Dobson, Patricia B. Munroe, Mark J. Caulfield, Mansoor A. S. Saqi:
Predicting deleterious nsSNPs: an analysis of sequence and structural attributes. BMC Bioinform. 7: 217 (2006)
Coauthor Index
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