[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-119683-en":3,"doc-seo-119683-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},119683,1099513958607,"Jiven","https://ap-avatar.wpscdn.com/avatar/100002390cf8733938c?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778829742770036399",8,"Research & Report","Involving Machine Learning Techniques in Heart Disease Diagnosis - Performance Analysis","Machine learning techniques are applied to diagnose heart disease using the Cleveland Clinic dataset obtained from the UCI machine learning repository and Kaggle. Five algorithms—logistic regression, random forest, artificial neural networks, support vector machines, and k-nearest neighbors—are trained and compared to assess diagnostic performance. Additional related literature on machine learning and deep learning for monitoring, detecting, diagnosing, and predicting heart disease is reviewed, and ten studies from 2017 to 2022 are summarized. Results indicate support vector machines achieve the highest diagnostic accuracy at about 96%.","Involving machine learning techniques in heart disease diagnosis: a performance analysis  \nBan Salman Shukur1, Maad M. Mijwil2  \n1Computer Science Department, Baghdad College of Economic Sciences University, Baghdad, Iraq 2Computer Techniques Engineering Department, Baghdad College of Economic Sciences University, Baghdad, Iraq  \nArticle history:  \nReceived Apr 30, 2022 Revised Sep 19, 2022 Accepted Oct 14, 2022  \nKeywords:  \nArtificial intelligence Cleveland clinic COVID-19  \nDeep learning Heart diseases Machine learning  \nCorresponding Author:  \nArtificial intelligence is a science that is growing at a tremendous speed every day and has become an essential part of many domains, including the medical domain. Therefore, countless artificial intelligence applications can be seen in the medical domain at various levels, which are employed to enhance early diagnosis and prediction and reduce the risks associated with many diseases, including heart diseases. In this article, machine learning techniques (logistic regression, random forest, artificial neural network, support vector machines, and k-nearest neighbors) are utilized to diagnose heart disease from the Cleveland Clinic dataset got from the University of California Irvine machine learning (UCL) repository and Kaggle platform then create a comparison between the performance of these techniques. In addition, some literature related to machine learning and deep learning techniques that aim to provide reasonable solutions in monitoring, detecting, diagnosing, and predicting heart disease and how these technologies assist in making health decisions are reviewed. Ten studies are selected and summarized by the authors published between 2017 and 2022 are illustrated. After executing a series of tests, it is seen that the most profitable performance in diagnosing heart disease is the support vector machines, with a diagnostic accuracy of 96% . This article has concluded that these techniques play a significant and influential role in assisting physicians and health care workers in analyzing heart patients' data, making health decisions, and saving patients' lives.  \nThis is an open access article under the CC BY-SA license.  \nMaad M. Mijwil  \nComputer Techniques Engineering Department, Baghdad College of Economic Sciences University Baghdad Province, Yarmouk, Nafaq Al-Shurta, Iraq [Email: mr.maad.alnaimiy@baghdadcollege.edu.iq](Email: mr.maad.alnaimiy@baghdadcollege.edu.iq)  \nArticle Info ABSTRACT  \n1. INTRODUCTION  \nToday, computers and computer systems have become a vital part of our lives [1] . Computers are employed in almost every domain [2] . In the past years, computers have been benefited from summarizing large amounts of data over time and making comments about events utilizing these data while performing calculations or transmitting data [3], [4] . Nowadays, computers can make decisions about events and know the relationship between events [5] . Also, computers can also solve issues that cannot be mathematically formulated. The most noteworthy part of computer science is artificial intelligence [6], [7] . This science is distinguished by its ability to suggest computational models of learning based on human biological neural networks [8] . In other words, several models of artificial intelligence have been suggested, which, thanks to advancements in computational technology, have allowed the growth of \"intelligent\" techniques that facilitate processing more data in less time, speeding up the decision-making process [9], [10] . In addition,  \nthis science is involved in many domains such as advanced robotics, computer vision, natural language processing, virus tracking, prediction, diagnosis, planning and optimization. The most noteworthy part of artificial intelligence is machine learning [11]–[14], which includes different types of techniques such as random forest, naïve bayes, and k-nearest neighbor. Besides, these techniques are separated into supervised, unsupervised,","cbCail33AqMJz9KJ","https://ap.wps.com/l/cbCail33AqMJz9KJ","pdf",615840,1,9,"English","en",105,"# Introduction\n## Artificial intelligence and machine learning overview\n## Deep learning and COVID-19 related context\n# Methodology\n## Dataset source and preprocessing\n## Applied machine learning techniques\n# Performance Analysis\n## Comparative evaluation of models\n## Best and worst performance discussion\n# Literature Review\n## Summary of 2017–2022 studies","[{\"question\":\"Which dataset is used for heart disease diagnosis in this study?\",\"answer\":\"The study uses the Cleveland Clinic dataset, sourced from the UCI machine learning repository and Kaggle.\"},{\"question\":\"What machine learning methods are compared for diagnosing heart disease?\",\"answer\":\"Logistic regression, random forest, artificial neural networks, support vector machines, and k-nearest neighbors are executed and compared.\"},{\"question\":\"Which technique achieves the highest diagnostic performance, and what is the reported accuracy?\",\"answer\":\"Support vector machines deliver the best performance, with diagnostic accuracy reported around 96%.\"}]","Involving Machine Learning Techniques in Heart Disease Diagnosis - Performance Analysis | PDF",1785725734,23,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"involving-machine-learning-techniques-in-heart-disease-diagnosis-performance-analysis","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/involving-machine-learning-techniques-in-heart-disease-diagnosis-performance-analysis/119683/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Which dataset is used for heart disease diagnosis in this study?","Question",{"text":75,"@type":76},"The study uses the Cleveland Clinic dataset, sourced from the UCI machine learning repository and Kaggle.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What machine learning methods are compared for diagnosing heart disease?",{"text":80,"@type":76},"Logistic regression, random forest, artificial neural networks, support vector machines, and k-nearest neighbors are executed and compared.",{"name":82,"@type":73,"acceptedAnswer":83},"Which technique achieves the highest diagnostic performance, and what is the reported accuracy?",{"text":84,"@type":76},"Support vector machines deliver the best performance, with diagnostic accuracy reported around 96%.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]