Madhumita Sushil
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Patient representation learning and interpretable evaluation using clinical notes
M Sushil, S Šuster, K Luyckx, W Daelemans
Journal of biomedical informatics 84, 103-113, 2018
Rule induction for global explanation of trained models
M Sushil, S Šuster, W Daelemans
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018
Counting trees in random forests: predicting symptom severity in psychiatric intake reports
E Scheurwegs, M Sushil, S Tulkens, W Daelemans, K Luyckx
Journal of biomedical informatics 75, S112-S119, 2017
Are we there yet? Exploring clinical domain knowledge of BERT models
M Sushil, S Suster, W Daelemans
Proceedings of the 20th Workshop on Biomedical Language Processing, 41-53, 2021
CORAL: expert-curated oncology reports to advance language model inference
M Sushil, VE Kennedy, D Mandair, BY Miao, T Zack, AJ Butte
NEJM AI 1 (4), AIdbp2300110, 2024
Integration of Safety and Smartness Using Cloud Services: An Insight to Future
N Tekriwal, Madhumita, PV Krishna
Innovations and Advances in Computer, Information, Systems Sciences, and …, 2013
Evaluating large language models as agents in the clinic
N Mehandru, BY Miao, ER Almaraz, M Sushil, AJ Butte, A Alaa
NPJ digital medicine 7 (1), 84, 2024
Developing a general-purpose clinical language inference model from a large corpus of clinical notes
M Sushil, D Ludwig, AJ Butte, VA Rudrapatna
arXiv preprint arXiv:2210.06566, 2022
Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data
M Wang, M Sushil, BY Miao, AJ Butte
Journal of the American Medical Informatics Association 30 (7), 1323-1332, 2023
Use of a large language model to assess clinical acuity of adults in the emergency department
CYK Williams, T Zack, BY Miao, M Sushil, M Wang, AE Kornblith, AJ Butte
JAMA Network Open 7 (5), e248895-e248895, 2024
Contextual explanation rules for neural clinical classifiers
M Sushil, S Suster, W Daelemans
Proceedings of the 20th Workshop on Biomedical Language Processing, 202-212, 2021
Algorithmic Identification of Treatment‐Emergent Adverse Events From Clinical Notes Using Large Language Models: A Pilot Study in Inflammatory Bowel Disease
AL Silverman, M Sushil, B Bhasuran, D Ludwig, J Buchanan, R Racz, ...
Clinical Pharmacology & Therapeutics 115 (6), 1391-1399, 2024
Revisiting neural relation classification in clinical notes with external information
S Šuster, M Sushil, W Daelemans
Workshop on Health Text Mining and Information Analysis (LOUHI), workshop at …, 2018
Unsupervised patient representations from clinical notes with interpretable classification decisions
M Sushil, S Šuster, K Luyckx, W Daelemans
Workshop on Machine Learning for Health, NeurIPS 2017, 2017
A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports
M Sushil, T Zack, D Mandair, Z Zheng, A Wali, YN Yu, Y Quan, D Lituiev, ...
Journal of the American Medical Informatics Association, ocae146, 2024
Topic modeling on clinical social work notes for exploring social determinants of health factors
S Sun, T Zack, CYK Williams, M Sushil, AJ Butte
JAMIA open 7 (1), ooad112, 2024
Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing
BY Miao, M Sushil, A Xu, M Wang, D Arneson, E Berkley, M Subash, ...
The Lancet Digital Health 6 (3), e222-e229, 2024
Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes
S Sun, T Zack, CYK Williams, AJ Butte, M Sushil
arXiv preprint arXiv:2306.09877, 2023
Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research
BY Miao, IY Chen, CYK Williams, J Davidson, A Garcia-Agundez, H Sun, ...
arXiv preprint arXiv:2403.02558, 2024
Cross-institution natural language processing for reliable clinical association studies: a methodological exploration
M Sushil, AJ Butte, E Schuit, M van Smeden, AM Leeuwenberg
Journal of Clinical Epidemiology 167, 111258, 2024
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