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Patient Alert System To Predict And Alert Cardiovascular Disease Risk

Year: 2025

Type: article

Abstract: This project uses the Random Forest algorithm to predict heart disease risk based on key health data. Using the Cleveland heart disease dataset and chi-square feature selection, the model achieved 88.5% accuracy. It also provides real-time alerts with patient location, aiding timely medical response and better decision-making.

Source: International Journal on Science and Technology

DOI: 10.71097/ijsat.v16.i2.5978

Authors: Saranya D -, Karthikeyan S -

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4411215438

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