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Glen P. Martin
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2020 – today
- 2024
- [j6]Viveck Kingsley, Lisa Fox, David Simm, Glen P. Martin, Wendy Thompson, Muhammad Faisal:
External validation of the computer aided risk scoring system in predicting in-hospital mortality following emergency medical admissions. Int. J. Medical Informatics 188: 105497 (2024) - 2023
- [c6]David A. Jenkins, Glen P. Martin, Matthew Sperrin, Benjamin Brown, Linda Kimani, Stuart Grant, Niels Peek:
Comparing Predictive Performance of Time Invariant and Time Variant Clinical Prediction Models in Cardiac Surgery. MedInfo 2023: 1026-1030 - [c5]Antonia Tsvetanova, Matthew Sperrin, David A. Jenkins, Niels Peek, Iain E. Buchan, Stephanie L. Hyland, Glen P. Martin:
Compatibility in Missing Data Handling Across the Prediction Model Pipeline: A Simulation Study. MedInfo 2023: 1476-1477 - 2022
- [c4]Antonia Tsvetanova, Matthew Sperrin, Niels Peek, Iain E. Buchan, Stephanie L. Yland, Glen P. Martin:
Quantifying the problem of inconsistent missing data handling across the pipeline of Clinical Prediction Models: A simulation study. AMIA 2022 - [i2]Vincent Jeanselme, Glen P. Martin, Niels Peek, Matthew Sperrin, Brian D. M. Tom, Jessica K. Barrett:
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift. CoRR abs/2205.13481 (2022) - 2021
- [j5]Rose Sisk, Lijing Lin, Matthew Sperrin, Jessica K. Barrett, Brian D. M. Tom, Karla Diaz-Ordaz, Niels Peek, Glen P. Martin:
Informative presence and observation in routine health data: A review of methodology for clinical risk prediction. J. Am. Medical Informatics Assoc. 28(1): 155-166 (2021) - [j4]James Rafferty, Alan J. Watkins, Jane Lyons, Ronan A. Lyons, Ashley Akbari, Niels Peek, Farideh Jalali-najafabadi, Thamer Ba Dhafari, Alexander Pate, Glen P. Martin, Rowena Bailey:
Ranking sets of morbidities using hypergraph centrality. J. Biomed. Informatics 122: 103916 (2021) - [j3]William Hulme, Glen P. Martin, Matthew Sperrin, Alexander J. Casson, Sandra Bucci, Shôn Lewis, Niels Peek:
Adaptive Symptom Monitoring Using Hidden Markov Models - An Application in Ecological Momentary Assessment. IEEE J. Biomed. Health Informatics 25(5): 1770-1780 (2021) - [c3]Antonia Tsvetanova, Glen P. Martin, Matthew Sperrin, Niels Peek, Iain E. Buchan, Stephanie L. Hyland:
Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used. AMIA 2021 - [c2]Antonia Tsvetanova, Matthew Sperrin, Niels Peek, Iain E. Buchan, Stephanie L. Hyland, Glen P. Martin:
Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used. ICHI 2021: 443-444 - 2020
- [j2]Yan Li, Matthew Sperrin, Glen P. Martin, Darren M. Ashcroft, Tjeerd Pieter van Staa:
Examining the impact of data quality and completeness of electronic health records on predictions of patients' risks of cardiovascular disease. Int. J. Medical Informatics 133 (2020) - [i1]Glen P. Martin, David A. Jenkins, Lucy Bull, Rose Sisk, Lijing Lin, William Hulme, Anthony Wilson, Wenjuan Wang, Michael Barrowman, Camilla Sammut-Powell, Alexander Pate, Matthew Sperrin, Niels Peek:
Towards a Framework for the Design, Implementation and Reporting of Methodology Scoping Reviews. CoRR abs/2001.08988 (2020)
2010 – 2019
- 2019
- [j1]Matthew Sperrin, David A. Jenkins, Glen P. Martin, Niels Peek:
Explicit causal reasoning is needed to prevent prognostic models being victims of their own success. J. Am. Medical Informatics Assoc. 26(12): 1675-1676 (2019) - [c1]William Hulme, Charlotte Stockton-Powdrell, Shôn Lewis, Glen P. Martin, Sandra Bucci, Bijan Parsia, Alexander J. Casson, Ibrahim Habli, Niels Peek:
Cluster Hidden Markov Models: An Application to Ecological Momentary Assessment of Schizophrenia. CBMS 2019: 99-103
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last updated on 2024-12-11 21:43 CET by the dblp team
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