A Predictive Model for Pathologic Complete Response in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy Using Machine Learning

ISSN Print: 2168-1589
ISSN Online: 2168-1597
www.scirp.net/journal/abcr
E-mail: [email protected]

Citations

"A Predictive Model for Pathologic Complete Response in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy Using Machine Learning"
written by Isaac Kim, Kwanbum Lee, Seung Ah Lee, Yeon Hee Park, Seung Ki Kim,
published by Advances in Breast Cancer Research, Vol.10 No.4, 2021

has been cited by the following article(s):

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[1]	Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective Study JMIR Cancer, 2025 DOI:10.2196/64685