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Machine Learning and AI in Cancer Prognosis Prediction and Treatment Selection
0
Zitationen
3
Autoren
2025
Jahr
Abstract
This project proposes a Machine Learning and AI framework to improve cancer care by predicting patient prognosis (survival, recurrence) and recommending personalized treatment plans. It achieves high accuracy by analyzing clinical and genomic data using algorithms like Random Forest and Neural Networks.
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