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April 10, 2026Iconic Research and Engineering Journals

Intelligent Heart Disease Prediction System with Symptom-Based Test Recommendation

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Authors

SMSandhiya G MATAdeeba TGRGopika R

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Overview

Demonstrates improved heart disease prediction using symptom analysis and risk assessment tools in patients, suggesting timely interventions.

Key Points

  • The aim is to develop a system that predicts heart disease at early symptom stages, enhancing patient awareness and facilitating timely intervention.
  • Developed an intelligent prediction system combining symptom evaluation and machine learning.
  • Evaluated user-reported symptoms to recommend appropriate medical tests.
  • Utilized trained classification models for heart disease risk prediction.
  • The system improves accuracy in early risk detection.
  • Supports timely medical intervention for heart disease.
  • Enhances awareness of symptoms in users.

Cite This Study

M et al. (2026) studied this question.

synapsesocial.com/papers/69d8970c6c1944d70ce084dahttps://doi.org/10.64388/irev9i10-1716033
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Heart Disease Prediction System using Supervised Machine Learning Algorithms2024
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  3. 3Machine Learning-Based Predictive Healthcare System for Early Heart Disease Detection2026
  4. 4Smart Artificial Intelligence System for Heart Disease Prediction2024 · 2 citations
  5. 5A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms2018 · 626 citations