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相关论文: A Novel Approach for Cardiac Disease Prediction an…

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Heart diseases remain a leading cause of morbidity and mortality worldwide, necessitating accurate and trustworthy differential diagnosis. However, existing artificial intelligence-based diagnostic methods are often limited by insufficient…

Heart disease is a serious worldwide health issue because it claims the lives of many people who might have been treated if the disease had been identified earlier. The leading cause of death in the world is cardiovascular disease, usually…

机器学习 · 计算机科学 2024-09-10 Akua Sekyiwaa Osei-Nkwantabisa , Redeemer Ntumy

Precise and effective processing of cardiac imaging data is critical for the identification and management of the cardiovascular diseases. We introduce IntelliCardiac, a comprehensive, web-based medical image processing platform for the…

The accuracy of coronary artery disease (CAD) diagnosis is dependent on a variety of factors, including demographic, symptom, and medical examination, ECG, and echocardiography data, among others. In this context, artificial intelligence…

人工智能 · 计算机科学 2023-08-30 Elham Nasarian , Danial Sharifrazi , Saman Mohsenirad , Kwok Tsui , Roohallah Alizadehsani

Medical automatic diagnosis aims to imitate human doctors in real-world diagnostic processes and to achieve accurate diagnoses by interacting with the patients. The task is formulated as a sequential decision-making problem with a series of…

机器学习 · 计算机科学 2022-06-07 Hongyi Yuan , Sheng Yu

Heart Disease has become one of the most serious diseases that has a significant impact on human life. It has emerged as one of the leading causes of mortality among the people across the globe during the last decade. In order to prevent…

机器学习 · 计算机科学 2022-06-08 Muhammad Salman Pathan , Avishek Nag , Muhammad Mohisn Pathan , Soumyabrata Dev

Timely detection of illnesses is vital to prevent severe infections and ensure effective treatment, as it's always better to prevent diseases than to cure them. Sadly, many patients remain undiagnosed until their conditions worsen,…

人机交互 · 计算机科学 2024-02-23 Blake Fernandino , Moein Samak Bisheh

The main goal from this study is to discuss the main features of Artificial intelligence (AI) as well as their applicability for early cardiovascular Disease (CVDs) Detection, Material and Method : Systematic review approach Results : It…

Improving the precision of heart diseases detection has been investigated by many researchers in the literature. Such improvement induced by the overwhelming health care expenditures and erroneous diagnosis. As a result, various…

计算机与社会 · 计算机科学 2018-03-29 Israa Ahmed Zriqat , Ahmad Mousa Altamimi , Mohammad Azzeh

This study provides an overview of heart disease prediction using an intelligent system. Predicting disease accurately is crucial in the medical field, but traditional methods relying solely on a doctor's experience often lack precision. To…

计算机视觉与模式识别 · 计算机科学 2025-12-16 Mohaiminul Islam Bhuiyan , Chan Hue Wah , Nur Shazwani Kamarudin , Nur Hafieza Ismail , Ahmad Fakhri Ab Nasir

Associative classification is a recent and rewarding technique which integrates association rule mining and classification to a model for prediction and achieves maximum accuracy. Associative classifiers are especially fit to applications…

人工智能 · 计算机科学 2013-03-26 M. Akhil Jabbar , B L Deekshatulu , Priti Chandra

The point of care services and medication have become simpler with efficient consumer electronics devices in a smart healthcare system. Cardiovascular disease is a critical illness which causes heart failure, and early and prompt…

计算机与社会 · 计算机科学 2022-12-16 Nidhi Sinha , Teena Jangid , Amit M. Joshi , Saraju P. Mohanty

An important paradigm in smart health is developing diagnosis tools and monitoring a patient's heart activity through processing Electrocardiogram (ECG) signals is a key example, sue to high mortality rate of heart-related disease. However,…

信号处理 · 电气工程与系统科学 2018-11-02 Jiaming Chen , Ali Valehi , Abolfazl Razi

Cardiovascular diseases (CVDs) remain the foremost cause of mortality worldwide, a burden worsened by a severe deficit of healthcare workers. Artificial intelligence (AI) agents have shown potential to alleviate this gap through automated…

Heart disorder has just overtaken cancer as the world's biggest cause of mortality. Several cardiac failures, heart disease mortality, and diagnostic costs can all be reduced with early identification and treatment. Medical data is…

机器学习 · 计算机科学 2023-04-13 Md. Maidul Islam , Tanzina Nasrin Tania , Sharmin Akter , Kazi Hassan Shakib

Coronary Heart Disease affects millions of people worldwide and is a well-studied area of healthcare. There are many viable and accurate methods for the diagnosis and prediction of heart disease, but they have limiting points such as…

Cardiac diseases are among the leading causes of morbidity and mortality worldwide, which requires accurate and timely diagnostic strategies. In this study, we introduce an innovative approach that combines deep learning image registration…

机器学习 · 计算机科学 2025-07-09 Comte Valentin , Gemma Piella , Mario Ceresa , Miguel A. Gonzalez Ballester

Heart disease is the leading cause of death worldwide. Currently, 33% of cases are misdiagnosed, and approximately half of myocardial infarctions occur in people who are not predicted to be at risk. The use of Artificial Intelligence could…

机器学习 · 计算机科学 2020-07-28 Sahithi Ankireddy

Healthcare is one of the most important aspects of human life. Heart disease is known to be one of the deadliest diseases which is hampering the lives of many people around the world. Heart disease must be detected early so the loss of…

机器学习 · 计算机科学 2024-09-04 Shadab Hussain , Santosh Kumar Nanda , Susmith Barigidad , Shadab Akhtar , Md Suaib , Niranjan K. Ray

An important feature of pervasive, intelligent assistance systems is the ability to dynamically adapt to the current needs of their users. Hence, it is critical for such systems to be able to recognize those goals and needs based on…

人工智能 · 计算机科学 2023-01-16 Nils Wilken , Lea Cohausz , Johannes Schaum , Stefan Lüdtke , Heiner Stuckenschmidt
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