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March 29, 2021Future Science OAOpen Access

Machine Learning Algorithms for Predicting Coronary Artery Disease: Efforts Toward an Open Source Solution

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Why the study?

CAD is highly prevalent worldwide and influenced by modifiable risk factors; ML predictive models may assist clinicians in timely detection and improve outcomes.

Do machine learning algorithms accurately predict the presence of coronary artery disease?

Population

Patients listed in the Cleveland dataset

Comparison

Six different ML algorithms to predict the presence of CAD

Design

Predictive model development and validation study

Authors

AAArvind B. AkellaSASudheer Akella

Discussion

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Overview

ML models may aid CAD detection from routine data; leaves open prospective validation before clinical use.

Structured PICO

Do machine learning algorithms accurately predict the presence of coronary artery disease?

P
Population
Patients listed in 'the Cleveland dataset'
I
Intervention
Six different machine learning algorithms (including neural network)
O
Outcome
Prediction of the presence of coronary artery disease (accuracy and recall)

Machine learning models, particularly neural networks, can achieve high accuracy (>93%) in predicting the presence of coronary artery disease.

Cite This Study

Akella et al. (2021) studied this question.

synapsesocial.com/papers/6a703bba26a7f98052dcbc9bhttps://doi.org/10.2144/fsoa-2020-0206
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Also Consider

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

  1. 1Evaluating machine learning models for prediction of coronary artery disease2024 · 8 citations
  2. 2Using Machine Learning Algorithms for Coronary Artery Disease (CAD) Prediction Prediction of Coronary Artery Disease (CAD) Using Machine Learning Algorithms2024 · 10 citations
  3. 3Predicting Coronary Artery Disease Using Machine Learning2024
  4. 4Machine Learning-Based Prediction of Coronary Artery Disease Using Clinical and Behavioral Data: A Comparative Study2026 · 1 citations
  5. 5Artificial Intelligence and Ensemble Learning for Coronary Artery Disease Prediction2026