A Decision-Making Supporting Prediction Method for Breast Cancer Neoadjuvant Chemotherapy.

ABSTRACT: Neoadjuvant chemotherapy (NAC) may increase the resection rate of breast cancer and shows promising effects on patient prognosis. It has become a necessary treatment choice and is widely used in the clinical setting. Benefitting from the clinical information obtained during NAC treatment, computational methods can improve decision-making by evaluating and predicting treatment responses using a multidisciplinary approach, as there are no uniformly accepted protocols for all institutions for adopting different treatment regiments. In this study, 166 Chinese breast cancer cases were collected from patients who received NAC treatment at the First Bethune Hospital of Jilin University. The Miller-Payne grading system was used to evaluate the treatment response. Four machine learning multiple cla

SUBMITTER: Song D 

PROVIDER: S-EPMC7813988 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature