Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Madhumita Sushil

Showing results (1-10 of 18) with videos related to

Pageof 2
Sort By:
Journal of Biomedical Informatics|July 4, 2018
Patient representation learning and interpretable evaluation using clinical notesMadhumita Sushil, Simon Šuster, Kim Luyckx, et al.
Journal of Biomedical Informatics|June 13, 2017
Counting trees in Random Forests: Predicting symptom severity in psychiatric intake reportsElyne Scheurwegs, Madhumita Sushil, Stéphan Tulkens, et al.
Journal of the American Medical Informatics Association : JAMIA|May 15, 2023
Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big dataMichelle Wang, Madhumita Sushil, Brenda Y Miao, et al.
JAMIA Open|January 15, 2024
Topic modeling on clinical social work notes for exploring social determinants of health factorsShenghuan Sun, Travis Zack, Christopher Y K Williams, et al.
Journal of Clinical Epidemiology|January 14, 2024
Cross-institution natural language processing for reliable clinical association studies: a methodological explorationMadhumita Sushil, Atul J Butte, Ewoud Schuit, et al.
JAMIA Open|October 14, 2024
Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notesShenghuan Sun, Travis Zack, Christopher Y K Williams, et al.
NEJM AI|April 21, 2025
CORAL: Expert-Curated Oncology Reports to Advance Language Model InferenceMadhumita Sushil, Vanessa E Kennedy, Divneet Mandair, et al.
Research Square|February 26, 2024
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classificationMadhumita Sushil, Travis Zack, Divneet Mandair, et al.
JAMA Network Open|May 7, 2024
Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency DepartmentChristopher Y K Williams, Travis Zack, Brenda Y Miao, et al.
Journal of the American Medical Informatics Association : JAMIA|June 20, 2024
A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reportsMadhumita Sushil, Travis Zack, Divneet Mandair, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Journal of Biomedical Informatics|July 4, 2018
Patient representation learning and interpretable evaluation using clinical notesMadhumita Sushil, Simon Šuster, Kim Luyckx, et al.
Journal of Biomedical Informatics|June 13, 2017
Counting trees in Random Forests: Predicting symptom severity in psychiatric intake reportsElyne Scheurwegs, Madhumita Sushil, Stéphan Tulkens, et al.
Journal of the American Medical Informatics Association : JAMIA|May 15, 2023
Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big dataMichelle Wang, Madhumita Sushil, Brenda Y Miao, et al.
JAMIA Open|January 15, 2024
Topic modeling on clinical social work notes for exploring social determinants of health factorsShenghuan Sun, Travis Zack, Christopher Y K Williams, et al.
Journal of Clinical Epidemiology|January 14, 2024
Cross-institution natural language processing for reliable clinical association studies: a methodological explorationMadhumita Sushil, Atul J Butte, Ewoud Schuit, et al.
JAMIA Open|October 14, 2024
Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notesShenghuan Sun, Travis Zack, Christopher Y K Williams, et al.
NEJM AI|April 21, 2025
CORAL: Expert-Curated Oncology Reports to Advance Language Model InferenceMadhumita Sushil, Vanessa E Kennedy, Divneet Mandair, et al.
Research Square|February 26, 2024
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classificationMadhumita Sushil, Travis Zack, Divneet Mandair, et al.
JAMA Network Open|May 7, 2024
Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency DepartmentChristopher Y K Williams, Travis Zack, Brenda Y Miao, et al.
Journal of the American Medical Informatics Association : JAMIA|June 20, 2024
A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reportsMadhumita Sushil, Travis Zack, Divneet Mandair, et al.
Pageof 2