Heart Attack Analysis and Prediction with Machine Learning Techniques

Year 2024, Volume: 8 Issue: 2, 33 - 44, 13.09.2024

Shuaib Jasim , İbrahim Onaran Mustafa Al-asadi

https://doi.org/10.34110/forecasting.1489839

Abstract

This study explores the use of machine learning algorithms to analyze and predict heart attacks, focusing on genetics, lifestyle, medical history, and biometric factors. The data was analyzed using logistic regression, support vector machines, decision trees, and random forests. Support vector machines were found to be the most effective model for predicting heart attack risk, with a high accuracy rate and low error rate. The study highlights the potential of machine learning in assisting healthcare professionals and individuals in determining heart attack risk and taking preventive measures.

Keywords

التعلم الالي, النوبة القلبية, البايثون

Ethical Statement

تم عمل هذا البحث وفق اخلاقيات النشر

Supporting Institution

/

Project Number

1

Thanks

الشكر والتقدير الى الباحثين وتعاونهم الدائم

References

• [1]"Heart Attack Rates According to World Health Organization", Indy Türk, Available: https://www.indyturk.com/node/545246.
• [2]J. Santhana Krishnan; S. Geetha , "Prediction of Heart Disease Using Machine Learning Algorithms," in 2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT), Chennai, India 21 June 2019.
• [3]A. Ritu, P. Prajoy K. Aditya, "ECG Classification and Analysis for Heart Disease Prediction Using XAI-Driven Machine Learning Algorithms," Part of the Intelligent Systems Reference Library book series, April 2022.
• [4]R. Rashik , "Heart Attack Analysis & Prediction Dataset," Kaggle, Available: https://www.kaggle.com/datasets/rashikrahmanpritom/heart-attack-analy sis-prediction-dataset?datasetId=1226038&sortBy=voteCount.
• [5]D. Sena Merter, "What is a Standard Scaler?" Data Science School, Available: https://www.veribilimiokulu.com/veri-hazirliginin-vazgecilmezi-ozellik- olceklenen/.
• [6]"Logistic Regression in Machine Learning," Javatpoint, Available: https://www.javatpoint.com/logistic-regression-in-machine-learning. [7]B. Jason, "Logistic Regression for Machine Learning Details," Machine Learning Mastery, Available: https://machinelearningmastery.com/logistic-regression-for-machine-lear ning/.
• [8]"Logistic Regression for Machine Learning Image," Spark By Examples, Available: https://sparkbyexamples.com/wp-content/uploads/2023/03/Screenshot-2 023-03-11-at-4.19.28-PM. png.
• [9]"Support Vector Machine Algorithm," Java point, Available: https://www.javatpoint.com/machine-learning-support-vector-machine-a algorithm.
• [10]G. Rohith, "Support Vector Machine — Introduction to Machine Learning Algorithms," Towards Data Science, Available: https://towardsdatascience.com/support-vector-machine-introduction-to- machine-learning-algorithms-934a444fca47. [11]"Support Vector Machine Artwork," Datatron, Available: https://datatron.com/wp-content/uploads/2021/05/Support-Vector-Machi ne.png.
• [12]R. Surithi, "Understand Random Forest Algorithms with Examples," Analytics Vidhya, Available: https://www.analyticsvidhya.com/blog/2021/06/understanding-random-f orest/.
• [13]Y. Tony, "Understanding Random Forest," Towards Data Science, Available: https://towardsdatascience.com/understanding-random-forest-58381e060 2d2.
• [14] “Random Forest Image” Available: https://encrypted-tbn0.gstatic.com/images?q=tbn
• [15] “Decision Trees” Avaliable: https://scikit-learn.org/stable/modules/tree.html
• [16] “Decision Tree Terminologies” Avaliable: https://www.geeksforgeeks.org/decision-tree/
• [17] “Decision Tree Algorithm in Machine Learning” Available: https://static.javatpoint.com/tutorial/machine-learning/images/decision-tr ee-classification-algorithm.png
• [18]R. Rashik , "Heart Attack Analysis & Prediction Dataset," Kaggle, Available: https://www.kaggle.com/datasets/rashikrahmanpritom/heart-attack-analy
• sis-prediction-dataset?datasetId=1226038&sortBy=voteCount. [19]K. Ajitesh “Accuracy, Precision, Recall & F1-Score – Python Examples” Avaliable: https://vitalflux.com/accuracy-precision-recall-f1-score-python-example/
• [20]K. Ajitesh “What is the presicion score? Available: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.precisio n_score.html
• [21]K. Ajitesh “Accuracy, Precision, Recall & F1-Score – Python Examples” Available: https://vitalflux.com/accuracy-precision-recall-f1-score-python-example/
• [22]K. Rohit “What is F1score?”Avaliable: https://www.v7labs.com/blog/f1-score-guide#:~:text=F1%20score