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Publication search results
found 44 matches
- 2023
- Sarwan Ali, Prakash Chourasia, Murray Patterson:
Anderson Acceleration for Bioinformatics-Based Machine Learning. KDH@IJCAI 2023 - Thomas T. Kok, Willemijn Groenendaal, Dolores Blanco-Almazán, Lien Lijnen, Christophe Smeets, David Ruttens, John F. Morales, Tom Dhaene, Femke Ongenae, Sofie Van Hoecke, Dirk Deschrijver:
Comparator Model for Detecting Changes in the Ease of Breathing of COPD Patients. KDH@IJCAI 2023 - Vincenzo Moscato, Marco Postiglione, Guido Secondulfo, Giancarlo Sperlí, Andrea Vignali:
Learning How To Augment Data: An Application To Biomedical NER. KDH@IJCAI 2023 - Linglong Qian, Zina M. Ibrahim, Ao Zhang, Richard J. B. Dobson:
Addressing Class Imbalance in Electronic Health Records Data Imputation. KDH@IJCAI 2023 - Yingying Wu, Shusheng Xu, Shing-Tung Yau, Yi Wu:
PhyloTransformer: A Self-supervised Discriminative Model for SARS-CoV-2 Viral Mutation Prediction Based on a Multi-head Self-attention Mechanism. KDH@IJCAI 2023 - Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, David Reith:
Developing a Fair AI-based Healthcare Framework with Feedback Loop. KDH@IJCAI 2023 - Leo Xinyue Zhang, Angus Roberts, Sebastian S. Zeki:
Joint Entity and Relation Extraction in Medical Text. KDH@IJCAI 2023 - Zina M. Ibrahim, Honghan Wu, Nirmalie Wiratunga:
Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, August 20, 2023. CEUR Workshop Proceedings 3479, CEUR-WS.org 2023 [contents] - 2019
- Micheal Abaho, Danushka Bollegala, Paula R. Williamson, Susanna Dodd:
Correcting Crowdsourced Annotations to Improve Detection of Outcome Types in Evidence Based Medicine. KDH@IJCAI 2019: 1-5 - Hossein Aboutalebi, Doina Precup, Tibor Schuster:
Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical Trials. KDH@IJCAI 2019: 43-49 - Robert Bevan, Alessandro Torrisi, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Extracting Supporting Evidence from Medical Negligence Claim Texts. KDH@IJCAI 2019: 50-54 - Spiros C. Denaxas, Helen Parkinson, Natalie K. Fitzpatrick, Cathie Sudlow, Harry Hemingway:
Analysing the Heterogeneity of Rule-Based EHR Phenotyping Algorithms in CALIBER and the UK Biobank. KDH@IJCAI 2019: 6-14 - Alan H. Gee, Diego García-Olano, Joydeep Ghosh, David Paydarfar:
Explaining Deep Classification of Time-Series Data with Learned Prototypes. KDH@IJCAI 2019: 15-22 - Jackson A. Killian, Kevin M. Passino, Arnab Nandi, Danielle R. Madden, John D. Clapp:
Learning to Detect Heavy Drinking Episodes Using Smartphone Accelerometer Data. KDH@IJCAI 2019: 35-42 - James O'Neill, Danushka Bollegala, Peter-J. Noble, Alan D. Radford:
Tick Parasitism Classification from Noisy Medical Records. KDH@IJCAI 2019: 30-34 - Harry Pratt, Frans Coenen, Yalin Zheng:
Feature Visualisation of Classification of Diabetic Retinopathy Using a Convolutional Neural Network. KDH@IJCAI 2019: 23-29 - 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 - Lujing Xiao, Chuanpan Zheng, Xiaoliang Fan, FYi Xie, Rongshan Yu:
Predicting ICU Mortality from Heterogeneous Clinical Events with Prior Medical Knowledge. KDH@IJCAI 2019: 55-59 - Nirmalie Wiratunga, Frans Coenen, Sadiq Sani:
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, KDH@IJCAI 2019, Macao, China, August 10th, 2019. CEUR Workshop Proceedings 2429, CEUR-WS.org 2019 [contents] - 2018
- Viraj Adduru, Sadid A. Hasan, Joey Liu, Yuan Ling, Vivek V. Datla, Ashequl Qadir, Oladimeji Farri:
Towards Dataset Creation And Establishing Baselines for Sentence-level Neural Clinical Paraphrase Generation and Simplification. KDH@IJCAI 2018: 45-52 - Ankita Agrawal, Wolfgang Ertel:
Automatic Nursing Care Trainer Based on Machine Learning. KDH@IJCAI 2018: 53-59 - Arthur Bertachi, Lyvia Biagi, Iván Contreras, Ningsu Luo, Josep Vehí:
Prediction of Blood Glucose Levels And Nocturnal Hypoglycemia Using Physiological Models and Artificial Neural Networks. KDH@IJCAI 2018: 85-90 - Lyvia Biagi, Josep Antoni Martin-Fernandex, Josep Vehí:
Compositional Data Analysis of Type 1 Diabetes Data. KDH@IJCAI 2018: 8-12 - Jianwei Chen, Kezhi Li, Pau Herrero, Taiyu Zhu, Pantelis Georgiou:
Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration. KDH@IJCAI 2018: 69-73 - Iván Contreras, Arthur Bertachi, Lyvia Biagi, Josep Vehí, Silvia Oviedo:
Using Grammatical Evolution to Generate Short-term Blood Glucose Prediction Models. KDH@IJCAI 2018: 91-96 - Claudio Díaz, Kalina Yacef:
Detecting Behaviour Changes in Accelerometer Data. KDH@IJCAI 2018: 21-26 - Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Using Features From Pre-trained TimeNET For Clinical Predictions. KDH@IJCAI 2018: 38-44 - Mike Holmes, Hao Song, Emma Tonkin, Miquel Perelló-Nieto, Sabrina Grant, Peter A. Flach:
Analysis of Patient Domestic Activity in Recovery From Hip or Knee RePlacement Surgery: Modelling Wrist-worn Wearable RSSI and Accelerometer Data in The Wild. KDH@IJCAI 2018: 13-20 - Cindy Marling, Razvan C. Bunescu:
The OhioT1DM Dataset For Blood Glucose Level Prediction. KDH@IJCAI 2018: 60-63 - John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, Olof Mogren:
Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks. KDH@IJCAI 2018: 64-68
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