Ontology highlight
ABSTRACT: Background
Breast cancer is a leading global health concern, necessitating advancements in recurrence prediction and management. The development of an artificial intelligence (AI)-based clinical decision support system (AI-CDSS) using ChatGPT addresses this need with the aim of enhancing both prediction accuracy and user accessibility.Objective
This study aims to develop and validate an advanced machine learning model for a web-based AI-CDSS application, leveraging the question-and-answer guidance capabilities of ChatGPT to enhance data preprocessing and model development, thereby improving the prediction of breast cancer recurrence.Methods
This study focused on developing an advanced machine learning model by leveraging data from the Tri-Service General Hospital br
SUBMITTER: Lin TH
PROVIDER: S-EPMC11411218 | biostudies-literature | 2024 Sep
REPOSITORIES: biostudies-literature