The Clinical Trials Data Analysis System is designed to analyze large clinical trial datasets using machine learning. Data related to drug effectiveness and patient response is processed by a Single Board Computer (SBC). ML models identify patterns and outcomes to support research decisions. This improves accuracy and efficiency in clinical studies. This project uses an SBC, ML algorithms, medical datasets, and data analysis techniques, making it suitable for healthcare research and clinical analysis applications.
Department
Electronics and Communication Engineering
Type
major
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