A Hybrid Machine Learning Technique based Pre...

A Hybrid Machine Learning Technique based Prediction of Blood Pressure

Author Name : Ayushi Saxena, Prof. Firdous Qureshi, Dr. Sneha Soni

ABSTRACT Blood pressure is major cause of hypertension and heart health condition which affects a large portion of the global population. Accurate prediction of blood pressure levels plays a crucial role in monitoring and managing this condition effectively. In recent years, machine learning techniques have shown promise in various medical domains, including the prediction of blood pressure. This paper proposes a hybrid machine learning technique for predicting blood pressure levels. The hybrid approach combines the strengths of naive bayes and random forest machine learning algorithms to enhance the accuracy and reliability of blood pressure prediction. Simulation is performed using the python spyder 3.7 software.