Takip et
Madhumita Sushil
Madhumita Sushil
ucsf.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
462018
Rule induction for global explanation of trained models
M Sushil, S Šuster, W Daelemans
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018
242018
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
232017
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
202021
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
102013
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
82022
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
62023
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
4*2021
Large language models as agents in the clinic
N Mehandru, BY Miao, ER Almaraz, M Sushil, AJ Butte, A Alaa
arXiv preprint arXiv:2309.10895, 2023
22023
Assessing clinical acuity in the Emergency Department using the GPT-3.5 Artificial Intelligence Model
CYK Williams, T Zack, BY Miao, M Sushil, M Wang, AJ Butte
medRxiv, 2023.08. 09.23293795, 2023
22023
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
22018
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
22017
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
12023
SA50 Topic Modeling on Social Work Notes for Exploring Social Determinants of Health Factors
S Sun, A Butte, M Sushil
Value in Health 25 (7), S613-S614, 2022
12022
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
2024
CORAL: Expert-Curated Oncology Reports to Advance Language Model Inference
M Sushil, VE Kennedy, D Mandair, BY Miao, T Zack, AJ Butte
NEJM AI, AIdbp2300110, 2024
2024
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
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
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
2024
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification
M Sushil, T Zack, D Mandair, Z Zheng, A Wali, YN Yu, Y Quan, AJ Butte
arXiv preprint arXiv:2401.13887, 2024
2024
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Makaleler 1–20