Classification Analysis on Heart Attack Analysis on Patients Dataset
Author(s):
Saiprakash A, Deepak S, Shahul Hammed S , Ananth Kumar A , Praghash M, M.S.Sassirekha, Anbarasan Balakrishnan
Keywords:
Classification, Logistic Regression, Decision Tree Classification, Random Forest Classification, Support Vector Machine, Normalization
Abstract
The Dataset contains the data about medicinal records of Patients who are diagnosed with either Heart Attack or Not. Heart Attack occurs when a blood clot blocks the blood flow to the part of the Heart. It is researched as, more persons are prone to Heart Attack during the ages between 40 – 50 years of Age. Let’s do classification techniques on the dataset to create prediction models that can predict whether a patient would have a Heart attack using their medicinal records.
Article Details
Unique Paper ID: 154176

Publication Volume & Issue: Volume 8, Issue 7

Page(s): 66 - 67
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