ezgisubasi/breast-cancer-gene-expression
This project aims to predict people who will survive breast cancer using machine learning models with the help of clinical data and gene expression profiles of the patients.
This tool helps medical researchers and oncologists predict breast cancer patient survival using patient clinical data and gene expression profiles. By inputting this information, it provides predictions about whether a patient will survive, helping to better understand the disease and evaluate treatment efficacy. The insights gained can support more informed decisions in cancer research and patient care.
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Use this if you are a medical researcher or oncologist seeking to predict breast cancer patient survival based on clinical attributes and gene expression data.
Not ideal if you need a real-time diagnostic tool for immediate patient care, as this project focuses on predictive modeling rather than clinical diagnosis.
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Jun 27, 2021
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