HEART DISEASE PREDICTION USING HRFLM

Supervisor:

Asst.Prof. DIVYA RAJAN M D

Team Members

RIYA PP
ASHITHA K K
ANUSHA N K
NIVED C K

Description

Machine learning (ML) is the scientific study of algorithms and statistical models that computer
systems use to perform a specific task without using explicit instructions, relying on patterns and
inference instead. It is seen as a subset of artificial intelligence. The machine learning plays a
significant role for finding the hidden pattern in medical data and analysis of data. Heart disease
is one of the most significant causes of mortality in the world today. Prediction of cardiovascular
disease is a critical challenge in medical data analysis. By using Random Forest algorithm and
Linear Method we can create an application for heart disease prediction which improves the
accuracy of the data analysis. It can help the medical field as it acts as a reference to the
doctors which can also result in earlier prediction of heart disease for earlier diagnosis.