Madhumita Sushil
Orcid: 0000-0001-7884-0526
According to our database1,
Madhumita Sushil
authored at least 21 papers
between 2017 and 2024.
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On csauthors.net:
Bibliography
2024
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., 2024
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data.
CoRR, 2024
Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research.
CoRR, 2024
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification.
CoRR, 2024
2023
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., June, 2023
Extracting detailed oncologic history and treatment plan from medical oncology notes with large language models.
CoRR, 2023
Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes.
CoRR, 2023
Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine.
CoRR, 2023
2022
Topic Modeling on Clinical Social Work Notes for Exploring Social Determinants of Health Factors.
CoRR, 2022
Developing a general-purpose clinical language inference model from a large corpus of clinical notes.
CoRR, 2022
Proceedings of the AMIA 2022, 2022
2021
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021
2020
2019
2018
J. Biomed. Informatics, 2018
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018
Revisiting neural relation classification in clinical notes with external information.
Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 2018
2017
Unsupervised patient representations from clinical notes with interpretable classification decisions.
CoRR, 2017