[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117829-en":3,"doc-seo-117829-105":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},117829,962075006959,"Anda","https://ap-avatar.wpscdn.com/avatar/e0002397efbe92a78e?_k=1776741047341049297",7,"Healthcare","Heart Disease Prediction Using Machine Learning Method","Heart disease, known as coronary artery disease, presents widespread and potentially fatal symptoms, making intelligent prediction and diagnosis essential. Many studies use data mining and machine learning to process complex clinical data and support risk forecasting from patient medical history, including genetic information. This research paper discusses key reasons for heart disease and proposes a prediction model built on machine learning algorithms to address the urgent need for effective cardiovascular risk systems.","Heart Disease Prediction Using Machine  \nLearning Method  \nNouh Sabri Elmitwally  \nFaculty of Computing,  \nEngineering and the Built  \nEnvironment at Birmingham City  \nUniversity, Birmingham, United  \nKingdom.  \n[Nouh.elmitwally@bcu.ac.uk](Nouh.elmitwally@bcu.ac.uk)  \nAbstract—The heart disease is also known as coronary artery disease, many hearts affecting symptoms that are very common nowadays and causes death. It is a challenging task to diagnose heart diseases without any intelligent diagnosing system. Many researchers did research on it and developed a diagnostic system to diagnose heart diseases and worked on it. The prediction of cardiovascular disease, required a brief medical history of patients, including genetic information. The world is in acute need of a system for predicting heart disease and it became crucial. Data mining and machine learning are common techniques used in the field of healthcare to process large and complex data. This research paper presents reasons for heart disease and a model based on Machine learning algorithms for prediction.  \nKeywords—coronary, Data mining, cardiovascular, algorithm  \nI.INTRODUCTION  \nThe heart is the most crucial thing in human existence and its survival. It may be very important for the appropriate functioning of the body. It pumps oxygenated blood to the other components of the body. The heart gets deoxygenated blood and sporting metabolic waste products from the body and sends it to the lungs for oxygenation [1] . If the coronary heart carries out its proper functioning, then it leads to a wholesome existence, however, if the coronary heart forestalls its typical overall performance, it reasons dying of humans. It causes inflammation of blood vessels. Heart diseases cause abnormal blood streaming, which maybe very risky for humans [2] .  \nThere are many factors that reason coronary heart disease e.g., smoking, excessive blood stress, high cholesterol, diabetes, etc. Smoking is common nowadays in young and aged persons and becoming a trend in youth. Smoking tightens the arteries of the coronary heart and reasons abnormal heartbeat; it additionally increases blood stress. High blood stress reasons many issues it enforces the  \ncoronary heart to work harder to deliver blood to the body, it additionally makes the lower-left coronary heart chamber thickens which growth the hazard of coronary heart failure. High blood sugar degrees can harm your nerves or vessels that control your coronary heart.  \nHigh cholesterol builds up inside the partitions of arteries, inflicting atherosclerosis, which reasons coronary heart disorder. Due to high cholesterol, arteries turn out tobe narrowed, and blood flow is down and blocked. These are the maximum viral illnesses and are very common nowadays and four out of five individuals have those illnesses [3] .  \nIn the past, human beings have been unaware approximately the seriousness of coronary heart illnesses and don’t be aware of those illnesses, and while some coronary heart illnesses are very deadly to fitness and might even reason be death. Today, most deaths take place because of coronary heart failure. The rate of deaths, because of coronary heart failure, is growing every day. According to the WHO report about 17.9 million people died due to cardiovascular diseases in 2019 [4], which accounts for 32% of all global deaths 85% of these deaths were due to heart attacks and strokes. The reason behind it is that peoples are unaware of the reasons for coronary heart illnesses.  \nThe detection of coronary heart illnesses is turning into very difficult, sluggish, and complex through ordinary clinical strategies in emergent countries because of the loss of professional medical doctors and modernization in exam tools. It is turning into large trouble all around the world [5] . Whereas examination procedures are carried out after studying the medical history of the patient and analyzing symptoms doctors suggest various tests according to the s","cbCaig8rlD23UNwf","https://ap.wps.com/l/cbCaig8rlD23UNwf","pdf",482186,1,6,"English","en",105,"# Introduction\n## Heart function and disease impact\n## Risk factors and epidemiology\n## Limitations of conventional clinical diagnosis\n## Diagnostic tests (ECG, MRI, angiogram, stress and echocardiography)","[{\"question\":\"Why is heart disease diagnosis considered challenging?\",\"answer\":\"Conventional clinical strategies can be slow and complex, especially where medical expertise is limited. Available tests may not fully capture the disorder’s complexity, requiring additional assessment.\"},{\"question\":\"What factors contribute to coronary heart disease?\",\"answer\":\"The document lists smoking, excessive blood stress, high cholesterol, diabetes, and high blood sugar. These factors can damage vessels, increase strain on the heart, and promote atherosclerosis.\"},{\"question\":\"How does the paper propose predicting heart disease?\",\"answer\":\"It presents a model based on machine learning algorithms, using healthcare data mining techniques. Prediction is designed to rely on patient medical history, including genetic information.\"}]","Heart Disease Prediction Using Machine Learning Method | PDF",1785679862,15,{"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},"heart-disease-prediction-using-machine-learning-method","",{"@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/healthcare/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/heart-disease-prediction-using-machine-learning-method/117829/",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","2026-08-02",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},"Why is heart disease diagnosis considered challenging?","Question",{"text":75,"@type":76},"Conventional clinical strategies can be slow and complex, especially where medical expertise is limited. Available tests may not fully capture the disorder’s complexity, requiring additional assessment.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What factors contribute to coronary heart disease?",{"text":80,"@type":76},"The document lists smoking, excessive blood stress, high cholesterol, diabetes, and high blood sugar. These factors can damage vessels, increase strain on the heart, and promote atherosclerosis.",{"name":82,"@type":73,"acceptedAnswer":83},"How does the paper propose predicting heart disease?",{"text":84,"@type":76},"It presents a model based on machine learning algorithms, using healthcare data mining techniques. 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