default search action
Madhumita Sushil
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j4]Madhumita Sushil
, Travis Zack, Divneet Mandair, Zhiwei Zheng, Ahmed Wali, Yan-Ning Yu, Yuwei Quan, Dmytro Lituiev
A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports. J. Am. Medical Informatics Assoc. 31(10): 2315-2327 (2024) - [j3]Nikita Mehandru
Evaluating large language models as agents in the clinic. npj Digit. Medicine 7(1) (2024) - [i14]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) - [i13]Brenda Y. Miao, Irene Y. Chen, Christopher YK Williams, Jaysón M. Davidson, Augusto Garcia-Agundez
Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research. CoRR abs/2403.02558 (2024) - [i12]Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Jacqueline Lammert, Lisa C. Adams, Keno K. Bressem:
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data. CoRR abs/2408.13833 (2024) - 2023
- [j2]Michelle Wang
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
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
Are we there yet? Exploring clinical domain knowledge of BERT models. BioNLP@NAACL-HLT 2021: 41-53 - [c3]Madhumita Sushil
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
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
Unsupervised patient representations from clinical notes with interpretable classification decisions. CoRR abs/1711.05198 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 20:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: