متابعة
Matthieu Komorowski
Matthieu Komorowski
MD, PhD, Clinical Senior Lecturer at Imperial College London ; Visiting Scholar at MIT
بريد إلكتروني تم التحقق منه على imperial.ac.uk - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care‏
M Komorowski, LA Celi, O Badawi, AC Gordon, AA Faisal‏
Nature medicine 24 (11), 1716-1720, 2018‏
11752018
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies‏
M Nagendran, Y Chen, CA Lovejoy, AC Gordon, M Komorowski, ...‏
bmj 368, 2020‏
8622020
Guidelines for reinforcement learning in healthcare‏
O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ...‏
Nature medicine 25 (1), 16-18, 2019‏
4882019
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI‏
B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ...‏
bmj 377, 2022‏
4132022
Secondary Analysis of Electronic Health Records‏
MITC Data‏
Springer International Publishing, 2016‏
286*2016
Exploratory data analysis‏
MITC Data, M Komorowski, DC Marshall, JD Salciccioli, Y Crutain‏
Secondary analysis of electronic health records, 185-203, 2016‏
2682016
Continuous state-space models for optimal sepsis treatment: a deep reinforcement learning approach‏
A Raghu, M Komorowski, LA Celi, P Szolovits, M Ghassemi‏
Machine Learning for Healthcare Conference, 147-163, 2017‏
2572017
Reprint of: Air travel and COVID-19 prevention in the pandemic and peri-pandemic period: A narrative review‏
M Bielecki, D Patel, J Hinkelbein, M Komorowski, J Kester, S Ebrahim, ...‏
Travel medicine and infectious disease 38, 101939, 2020‏
2422020
Deep reinforcement learning for sepsis treatment‏
A Raghu, M Komorowski, I Ahmed, L Celi, P Szolovits, M Ghassemi‏
arXiv preprint arXiv:1711.09602, 2017‏
2412017
Evaluating reinforcement learning algorithms in observational health settings‏
O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ...‏
arXiv preprint arXiv:1805.12298, 2018‏
1442018
Improving sepsis treatment strategies by combining deep and kernel-based reinforcement learning‏
X Peng, Y Ding, D Wihl, O Gottesman, M Komorowski, HL Li-wei, A Ross, ...‏
AMIA Annual Symposium Proceedings 2018, 887, 2018‏
1142018
Interdisciplinary research in artificial intelligence: challenges and opportunities‏
R Kusters, D Misevic, H Berry, A Cully, Y Le Cunff, L Dandoy, ...‏
Frontiers in big data 3, 577974, 2020‏
972020
Markov models and cost effectiveness analysis: applications in medical research‏
MITC Data, M Komorowski, J Raffa‏
Secondary analysis of electronic health records, 351-367, 2016‏
962016
Sensitivity analysis and model validation‏
MITC Data, JD Salciccioli, Y Crutain, M Komorowski, DC Marshall‏
Secondary analysis of electronic health records, 263-271, 2016‏
902016
Representation balancing mdps for off-policy policy evaluation‏
Y Liu, O Gottesman, A Raghu, M Komorowski, AA Faisal, F Doshi-Velez, ...‏
Advances in neural information processing systems 31, 2018‏
852018
Sepsis biomarkers and diagnostic tools with a focus on machine learning‏
M Komorowski, A Green, KC Tatham, C Seymour, D Antcliffe‏
EBioMedicine 86, 2022‏
752022
Secondary analysis of electronic health records‏
M Komorowski, DC Marshall, JD Salciccioli, Y Crutain‏
Second. Anal. Electron. Heal. Rec., no. September, 1-427, 2016‏
682016
Artificial intelligence in intensive care: are we there yet?‏
M Komorowski‏
Intensive care medicine 45 (9), 1298-1300, 2019‏
632019
Model-based reinforcement learning for sepsis treatment‏
A Raghu, M Komorowski, S Singh‏
arXiv preprint arXiv:1811.09602, 2018‏
612018
Natural history, trajectory, and management of mechanically ventilated COVID-19 patients in the United Kingdom‏
BV Patel, S Haar, R Handslip, C Auepanwiriyakul, TML Lee, S Patel, ...‏
Intensive care medicine 47 (5), 549-565, 2021‏
592021
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مقالات 1–20