Madhumita Sushil

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

External Information

Top Venues

BioNLP@NAACL-HLT

J. Am. Medical Informatics Assoc.

Publications

Brenda Y. Miao, Irene Y. Chen, Christopher YK Williams, Jaysón M. Davidson, Augusto Garcia-Agundez, Harry Sun, Travis Zack, Atul J. Butte, Madhumita Sushil
Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research. CoRR (2024)
Madhumita Sushil, Travis Zack, Divneet Mandair, Zhiwei Zheng, Ahmed Wali, Yan-Ning Yu, Yuwei Quan, Atul J. Butte
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification. CoRR (2024)
Nikita Mehandru, Brenda Y. Miao, Eduardo Rodriguez Almaraz, Madhumita Sushil, Atul J. Butte, Ahmed M. Alaa
Evaluating large language models as agents in the clinic. npj Digit. Medicine 7 (1) (2024)
Nikita Mehandru, Brenda Y. Miao, Eduardo Rodriguez Almaraz, Madhumita Sushil, Atul J. Butte, Ahmed M. Alaa
Large Language Models as Agents in the Clinic. CoRR (2023)
Michelle Wang, Madhumita Sushil, Brenda Y. Miao, Atul J. Butte
Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data. J. Am. Medical Informatics Assoc. 30 (7) (2023)
Shenghuan Sun, Travis Zack, Christopher Y. K. Williams, Atul J. Butte, Madhumita Sushil
Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes. CoRR (2023)
Madhumita Sushil, Vanessa E. Kennedy, Brenda Y. Miao, Divneet Mandair, Travis Zack, Atul J. Butte
Extracting detailed oncologic history and treatment plan from medical oncology notes with large language models. CoRR (2023)
Madhumita Sushil, Atul J. Butte, Ewoud Schuit, Maarten van Smeden, Artuur M. Leeuwenberg
Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine. CoRR (2023)
Shenghuan Sun, Travis Zack, Madhumita Sushil, Atul J. Butte
Topic Modeling on Clinical Social Work Notes for Exploring Social Determinants of Health Factors. CoRR (2022)
Madhumita Sushil, Dana Ludwig, Atul J. Butte, Vivek A. Rudrapatna
Training a Transferrable Clinical Language Model from 75 million Notes. AMIA (2022)
Madhumita Sushil, Dana Ludwig, Atul J. Butte, Vivek A. Rudrapatna
Developing a general-purpose clinical language inference model from a large corpus of clinical notes. CoRR (2022)
Madhumita Sushil, Simon Suster, Walter Daelemans
Contextual explanation rules for neural clinical classifiers. BioNLP@NAACL-HLT (2021)
Madhumita Sushil, Simon Suster, Walter Daelemans
Are we there yet? Exploring clinical domain knowledge of BERT models. BioNLP@NAACL-HLT (2021)
Madhumita Sushil, Simon Suster, Walter Daelemans
Distilling neural networks into skipgram-level decision lists. CoRR (2020)
Simon Suster, Madhumita Sushil, Walter Daelemans
Why can't memory networks read effectively? CoRR (2019)
Madhumita Sushil, Simon Suster, Kim Luyckx, Walter Daelemans
Patient representation learning and interpretable evaluation using clinical notes. J. Biomed. Informatics 84 (2018)
Madhumita Sushil, Simon Suster, Walter Daelemans
Rule induction for global explanation of trained models. CoRR (2018)
Simon Suster, Madhumita Sushil, Walter Daelemans
Revisiting neural relation classification in clinical notes with external information. Louhi@EMNLP (2018)
Madhumita Sushil, Simon Suster, Kim Luyckx, Walter Daelemans
Patient representation learning and interpretable evaluation using clinical notes. CoRR (2018)
Madhumita Sushil, Simon Suster, Walter Daelemans
Rule induction for global explanation of trained models. BlackboxNLP@EMNLP (2018)
Madhumita Sushil, Simon Suster, Kim Luyckx, Walter Daelemans
Unsupervised patient representations from clinical notes with interpretable classification decisions. CoRR (2017)