Machine learning and deep learning techniques for the analysis of heart disease: a systematic literature review, open challenges and future directions

M Bhushan, A Pandit, A Garg - Artificial Intelligence Review, 2023 - Springer
Myocardial infarction, commonly known as heart attack, is one of the most common heart
diseases prevailing in the human world. Heart or cardiac disease is one of the leading …

[HTML][HTML] Enhancing heart disease prediction through ensemble learning techniques with hyperparameter optimization

D Asif, M Bibi, MS Arif, A Mukheimer - Algorithms, 2023 - mdpi.com
Heart disease is a significant global health issue, contributing to high morbidity and mortality
rates. Early and accurate heart disease prediction is crucial for effectively preventing and …

[HTML][HTML] IoT enabled e-learning system for higher education

K Kumar, A Al-Besher - Measurement: Sensors, 2022 - Elsevier
In a pandemic situation, students are continuing their studies in online mode. It is difficult to
achieve a clear understanding of the subject and improve educational quality in an online …

[HTML][HTML] Smart cardiac framework for an early detection of cardiac arrest condition and risk

A Shah, S Ahirrao, S Pandya, K Kotecha… - Frontiers in Public …, 2021 - frontiersin.org
Cardiovascular disease (CVD) is considered to be one of the most epidemic diseases in the
world today. Predicting CVDs, such as cardiac arrest, is a difficult task in the area of …

Heart disease prediction using machine learning

G Singh, N Kumar, P Kumari - 2023 5th International …, 2023 - ieeexplore.ieee.org
Cardiovascular disease, commonly known as cardiovascular disease (CVD), is currently the
most difficult disease to treat in India and elsewhere in the globe. It has long been a primary …

Hddss: An enhanced heart disease decision support system using rfe-abgnb algorithm

MD Fathima, SJ Samuel, SP Raja - IJIMAI, 2023 - dialnet.unirioja.es
Heart disease is the leading cause of mortality globally. Heart disease refers to a range of
disorders that affect the heart and blood vessels. The risks of developing heart disease …

Learning-based techniques for heart disease prediction: a survey of models and performance metrics

PC Bizimana, Z Zhang, M Asim, AAA El-Latif… - Multimedia Tools and …, 2024 - Springer
Heart disease (HD) is a major threat to human health, and the medical field generates vast
amounts of data that doctors struggle to effectively interpret and use. Early prediction and …

Enhancing Prognosis Accuracy for Ischemic Cardiovascular Disease Using K Nearest Neighbor Algorithm: A Robust Approach

G Muhammad, S Naveed, L Nadeem… - IEEE …, 2023 - ieeexplore.ieee.org
Ischemic Cardiovascular diseases are one of the deadliest diseases in the world. However,
the mortality rate can be significantly reduced if we can detect the disease precisely and …

Majority voting ensembled feature selection and customized deep neural network for the enhanced clinical decision support system

MD Fathima, SJ Samuel… - … Journal of Computers …, 2022 - Taylor & Francis
Heart disease and diabetes are global health issues that affect people worldwide. Diabetes
is becoming a significant concern, and Diabetes patients have a substantially higher risk of …

A machine learning approach to cardiovascular disease prediction with advanced feature selection

A Abdullahi, M Ali Barre… - Indonesian Journal of …, 2024 - repository.simad.edu.so
Cardiovascular diseases (CVDs) pose a significant global public health challenge,
necessitating precise risk assessment for proactive treatment and optimal utilization of …