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What is Hypertension Detection via Logistic Regression about?

This study proposes a computer-aided diagnosis system using logistic regression to classify individuals as hypertensive or non-hypertensive based on blood test parameters, achieving an accuracy of 79%. The dataset includes various blood count features, and the model aims to enhance early detection of hypertension, which is crucial for reducing cardiovascular disease risks. The approach emphasizes the interpretability and simplicity of logistic regression compared to more complex models, making it a practica

Author

riteshchoudhary1703

Language

EN