Using machine learning, general regression, and cox proportional hazards regression to predict the effectiveness of treatment in patients with breast cancer. - Xiaoyan Wang; Dawn L. Hershman; Alfred I. Neugut (AMIA, 2006)

Clinical decision support for therapeutic decision-making in cancer: A systematic review. - Melissa Beauchemin; Meghan T. Murray; Lillian Sung; Dawn L. Hershman; Chunhua Weng; Rebecca Schnall (Int. J. Medical Informatics, 2019)

Data Quality of Chemotherapy-Induced Nausea and Vomiting Documentation. - Melissa Beauchemin; Chunhua Weng; Lillian Sung; Adrienne Pichon; Maura Abbott; Dawn L. Hershman; Rebecca Schnall (Appl. Clin. Inform., 2021)

Use of web-based decision support to improve informed choice for chemoprevention: a qualitative analysis of pre-implementation interviews (SWOG S1904). - Alissa M. Michel; Haeseung Yi; Jacquelyn Amenta; Nicole Collins; Anna Vaynrub; Subiksha Umakanth; Garnet Anderson; Katie Arnold; Cynthia Law; Sandhya Pruthi; Ana Sandoval-Leon; Rachel Shirley; et al. (BMC Medical Informatics Decis. Mak., 2024)

Implementation and impact of an electronic patient reported outcomes system in a phase II multi-site adaptive platform clinical trial for early-stage breast cancer. - Anna Northrop; Anika Christofferson; Saumya Umashankar; Michelle Melisko; Paolo Castillo; Thelma Brown; Diane Heditsian; Susie Brain; Carol Simmons; Tina Hieken; Kathryn J. Ruddy; Candace Mainor; et al. (J. Am. Medical Informatics Assoc., 2025)