This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1934) Natural Language Processing (923) Decision Support for Health Professionals (1555)

Published on in Vol 24, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32867, first published .
A Disease Identification Algorithm for Medical Crowdfunding Campaigns: Validation Study

A Disease Identification Algorithm for Medical Crowdfunding Campaigns: Validation Study

A Disease Identification Algorithm for Medical Crowdfunding Campaigns: Validation Study

Authors of this article:

Steven S Doerstling1, 2 Author Orcid Image ;   Dennis Akrobetu1, 2 Author Orcid Image ;   Matthew M Engelhard3 Author Orcid Image ;   Felicia Chen4 Author Orcid Image ;   Peter A Ubel5, 6 Author Orcid Image
Article Authors Cited by (7) Tweetations (5) Metrics

Journals

  1. Sloan C, Campagna A, Tu K, Doerstling S, Davis J, Ubel P. Online Crowdfunding Campaigns for Diabetes-Related Expenses. Annals of Internal Medicine 2023;176(7):1012 View
  2. Machado S, Perez B, Papanicolas I. The role of race and ethnicity in health care crowdfunding: an exploratory analysis. Health Affairs Scholar 2024;2(3) View
  3. Mallepeddi S, Patel P, D'Amico C, Thiessen C. Ethical and Policy Issues Arising in Crowdfunding for Solid Organ Transplantation: A Content Analysis of Newspaper Coverage of Recipient and Donor Fundraising Campaigns. Transplantation Proceedings 2024;56(6):1216 View
  4. Patil A, Gerstl J, Choi J, Smith T, Huang K. National trends in crowdfunding for neurosurgery: Scalable natural language processing of publicly available data using a large language model. Journal of Clinical Neuroscience 2025;139:111477 View
  5. Doerstling S, Engelhard M, Akrobetu D, Sloan C, Campagna A, Nguyen T, Madanay F, Chen F, Ubel P. Impact of Medical Conditions and Area Deprivation on Fundraising Success in Online Crowdfunding: Cross-Sectional Study. Journal of Medical Internet Research 2025;27:e72475 View
  6. Al-Garadi M, LeNoue-Newton M, Matheny M, McPheeters M, Whitaker J, Deere J, McLemore M, Westerman D, Khan M, Hernández-Muñoz J, Wang X, Kuzucan A, Desai R, Reeves R. Automated Extraction of Mortality Information From Publicly Available Sources Using Large Language Models: Development and Evaluation Study. Journal of Medical Internet Research 2025;27:e71113 View

Books/Policy Documents

  1. Zhou Y, Ma Y, Tang X, Wang J, Zheng N. Artificial Intelligence Applications and Innovations. View