Madhumita Sushil, PhD

Postdoctoral Scholar

Publications

  1. Sushil M, Zack T, Mandair D, Zheng Z, Wali A, Yu YN, Quan Y, Lituiev D, Butte AJ. A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports. Volume 31 of Issue 10. Journal of the American Medical Informatics Association : JAMIA 2024. PMID: 38900207


  2. Williams CYK, Zack T, Miao BY, Sushil M, Wang M, Kornblith AE, Butte AJ. Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department. Volume 7 of Issue 5. JAMA network open 2024. PMID: 38713466


  3. Mehandru N, Miao BY, Almaraz ER, Sushil M, Butte AJ, Alaa A. Evaluating large language models as agents in the clinic. Volume 7 of Issue 1. NPJ digital medicine 2024. PMID: 38570554


  4. Sushil M, Kennedy VE, Mandair D, Miao BY, Zack T, Butte AJ. CORAL: Expert-Curated Oncology Reports to Advance Language Model Inference NEJM AI 2024. PMID:


  5. Silverman AL, Sushil M, Bhasuran B, Ludwig D, Buchanan J, Racz R, Parakala M, El-Kamary S, Ahima O, Belov A, Choi L, Billings M, Li Y, Habal N, Liu Q, Tiwari J, Butte AJ, Rudrapatna VA. Algorithmic Identification of Treatment-Emergent Adverse Events From Clinical Notes Using Large Language Models: A Pilot Study in Inflammatory Bowel Disease. Clinical pharmacology and therapeutics 2024. PMID: 38459719


  6. Miao BY, Sushil M, Xu A, Wang M, Arneson D, Berkley E, Subash M, Vashisht R, Rudrapatna V, Butte AJ. Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing. The Lancet. Digital health 2024. PMID: 38395542


  7. Sushil M, Butte AJ, Schuit E, van Smeden M, Leeuwenberg AM. Cross-institution natural language processing for reliable clinical association studies: a methodological exploration. Volume 167. Journal of clinical epidemiology 2024. PMID: 38219811


  8. Sun S, Zack T, Williams CYK, Sushil M, Butte AJ. Topic modeling on clinical social work notes for exploring social determinants of health factors. Volume 7 of Issue 1. JAMIA Open 2024. PMID: 38223407


  9. Wang M, Sushil M, Miao BY, Butte AJ. Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data. Volume 30 of Issue 7. Journal of the American Medical Informatics Association : JAMIA 2023. PMID: 37187158


  10. Sushil M, Šuster S, Daelemans W. Are we there yet? Exploring clinical domain knowledge of BERT models Proceedings of the 20th Workshop on Biomedical Language Processing, Association for Computational Linguistics. 2021. PMID:


  11. Sushil M, Šuster S, Daelemans W. Contextual explanation rules for neural clinical classifiers Proceedings of the 20th Workshop on Biomedical Language Processing, Association for Computational Linguistics 2021. PMID:


  12. Sushil M, Šuster S, Daelemans W. Rule induction for global explanation of trained models Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Association for Computational Linguistics 2018. PMID:


  13. Šuster S, Sushil M, Daelemans W. Revisiting neural relation classification in clinical notes with external information Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, Association for Computational Linguistics 2018. PMID:


  14. Sushil M, Šuster S, Luyckx K, Daelemans W. Patient representation learning and interpretable evaluation using clinical notes. Volume 84. Journal of biomedical informatics 2018. PMID: 29966746


  15. Scheurwegs E, Sushil M, Tulkens S, Daelemans W, Luyckx K. Counting trees in Random Forests: Predicting symptom severity in psychiatric intake reports. Volume 75S. Journal of biomedical informatics 2017. PMID: 28602906