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Madhumita Sushil
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2020 – today
- 2024
- [j3]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) - [i13]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 abs/2401.13887 (2024) - [i12]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 abs/2403.02558 (2024) - 2023
- [j2]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): 1323-1332 (2023) - [i11]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 abs/2301.06570 (2023) - [i10]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 abs/2306.09877 (2023) - [i9]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 abs/2308.03853 (2023) - [i8]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 abs/2309.10895 (2023) - 2022
- [c5]Madhumita Sushil, Dana Ludwig, Atul J. Butte, Vivek A. Rudrapatna:
Training a Transferrable Clinical Language Model from 75 million Notes. AMIA 2022 - [i7]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 abs/2210.06566 (2022) - [i6]Shenghuan Sun, Travis Zack, Madhumita Sushil, Atul J. Butte:
Topic Modeling on Clinical Social Work Notes for Exploring Social Determinants of Health Factors. CoRR abs/2212.01462 (2022) - 2021
- [c4]Madhumita Sushil
, Simon Suster, Walter Daelemans
:
Are we there yet? Exploring clinical domain knowledge of BERT models. BioNLP@NAACL-HLT 2021: 41-53 - [c3]Madhumita Sushil
, Simon Suster, Walter Daelemans
:
Contextual explanation rules for neural clinical classifiers. BioNLP@NAACL-HLT 2021: 202-212 - [e1]Ionut-Teodor Sorodoc, Madhumita Sushil, Ece Takmaz, Eneko Agirre:
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, EACL 2021, Online, April 19-23, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-04-6 [contents] - 2020
- [i5]Madhumita Sushil, Simon Suster, Walter Daelemans:
Distilling neural networks into skipgram-level decision lists. CoRR abs/2005.07111 (2020)
2010 – 2019
- 2019
- [i4]Simon Suster, Madhumita Sushil, Walter Daelemans:
Why can't memory networks read effectively? CoRR abs/1910.07350 (2019) - 2018
- [j1]Madhumita Sushil
, Simon Suster, Kim Luyckx
, Walter Daelemans
:
Patient representation learning and interpretable evaluation using clinical notes. J. Biomed. Informatics 84: 103-113 (2018) - [c2]Simon Suster, Madhumita Sushil, Walter Daelemans:
Revisiting neural relation classification in clinical notes with external information. Louhi@EMNLP 2018: 22-28 - [c1]Madhumita Sushil, Simon Suster, Walter Daelemans:
Rule induction for global explanation of trained models. BlackboxNLP@EMNLP 2018: 82-97 - [i3]Madhumita Sushil, Simon Suster, Kim Luyckx, Walter Daelemans:
Patient representation learning and interpretable evaluation using clinical notes. CoRR abs/1807.01395 (2018) - [i2]Madhumita Sushil, Simon Suster, Walter Daelemans:
Rule induction for global explanation of trained models. CoRR abs/1808.09744 (2018) - 2017
- [i1]Madhumita Sushil, Simon Suster, Kim Luyckx
, Walter Daelemans:
Unsupervised patient representations from clinical notes with interpretable classification decisions. CoRR abs/1711.05198 (2017)
Coauthor Index
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last updated on 2024-08-05 21:24 CEST by the dblp team
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