Classification Analysis on Heart Attack Analysis on Patients Dataset

Saiprakash A; Deepak S; Shahul Hammed S; Ananth Kumar A; Praghash M; M.S.Sassirekha; Anbarasan Balakrishnan

Classification Analysis on Heart Attack Analysis on Patients Dataset

Authors: Saiprakash A, Deepak S, Shahul Hammed S , Ananth Kumar A , Praghash M, M.S.Sassirekha, Anbarasan Balakrishnan

Unique Paper ID: 154176
Volume: 8
Issue: 7
PageNo: 66-67

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 â€“ 50 years of Age. Letâ€™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.

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Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 7
PageNo: 66-67

Classification Analysis on Heart Attack Analysis on Patients Dataset

Available:https://ijirt.org/Article?manuscript=154176

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