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

Cancer Epidemiology, Cancer Surveillance and Infodemiology (113) Machine Learning (2076) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87) Cancer Prognosis Models and Machine Learning (67) Cancer Self-Management (91) Cancer Survivorship (334)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71102, first published .
Understanding Cancer Survivorship Care Needs Using Amazon Reviews: Content Analysis, Algorithm Development, and Validation Study

Understanding Cancer Survivorship Care Needs Using Amazon Reviews: Content Analysis, Algorithm Development, and Validation Study

Understanding Cancer Survivorship Care Needs Using Amazon Reviews: Content Analysis, Algorithm Development, and Validation Study

Authors of this article:

Liwei Wang1 Author Orcid Image ;   Qiuhao Lu2 Author Orcid Image ;   Rui Li2 Author Orcid Image ;   Taylor B Harrison3 Author Orcid Image ;   Heling Jia3, 4 Author Orcid Image ;   Ming Huang2 Author Orcid Image ;   Heidi Dowst1, 5 Author Orcid Image ;   Rui Zhang6 Author Orcid Image ;   Hoda Badr7 Author Orcid Image ;   Jungwei W Fan3 Author Orcid Image ;   Hongfang Liu2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Liwei Wang   1 , MD, PhD ;   Qiuhao Lu   2 , PhD ;   Rui Li   2 , PhD ;   Taylor B Harrison   3 , PhD ;   Heling Jia   3, 4 , MD ;   Ming Huang   2 , PhD ;   Heidi Dowst   1, 5 , MS ;   Rui Zhang   6 , PhD ;   Hoda Badr   7 , PhD ;   Jungwei W Fan   3 , PhD ;   Hongfang Liu   2 , PhD

1 Department of Clinical and Health Informatics, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States

2 Department of Health Data Science and Artificial Intelligence, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States

3 Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States

4 Bioinformatics and Computational Biology, University of Minnesota, Twin Cities, MN, United States

5 Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, United States

6 Department of Surgery, University of Minnesota, Twin Cities, MN, United States

7 Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA, United States

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