Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms

S Tufail, H Riggs, M Tariq, AI Sarwat - Electronics, 2023 - mdpi.com
In the current world of the Internet of Things, cyberspace, mobile devices, businesses, social
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …

Healthcare Internet of Things (H-IoT): Current trends, future prospects, applications, challenges, and security issues

M Kumar, A Kumar, S Verma, P Bhattacharya… - Electronics, 2023 - mdpi.com
Advancements in Healthcare Internet of Things (H-IoT) systems have created new
opportunities and solutions for healthcare services, including the remote treatment and …

Predictive analysis of heart diseases with machine learning approaches

TR Ramesh, UK Lilhore, M Poongodi… - Malaysian Journal of …, 2022 - jpmm.um.edu.my
Abstract Machine Learning (ML) is used in healthcare sectors worldwide. ML methods help
in the protection of heart diseases, locomotor disorders in the medical data set. The …

[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications

M Javaid, A Haleem, RP Singh, R Suman… - International Journal of …, 2022 - Elsevier
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …

[HTML][HTML] A classification and regression tree algorithm for heart disease modeling and prediction

M Ozcan, S Peker - Healthcare Analytics, 2023 - Elsevier
Heart disease remains the leading cause of death, such that nearly one-third of all deaths
worldwide are estimated to be caused by heart-related conditions. Advancing applications of …

Machine learning (ML) in medicine: review, applications, and challenges

AM Rahmani, E Yousefpoor, MS Yousefpoor… - Mathematics, 2021 - mdpi.com
Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …

A systematic review on machine learning approaches for cardiovascular disease prediction using medical big data

J Azmi, M Arif, MT Nafis, MA Alam, S Tanweer… - Medical engineering & …, 2022 - Elsevier
There is a considerable rise in cardiovascular diseases in the world. It is pertinently
essential to make cardiovascular prediction accurate to the maximum. A forecast based on …

[HTML][HTML] Multi-label active learning-based machine learning model for heart disease prediction

IM El-Hasnony, OM Elzeki, A Alshehri, H Salem - Sensors, 2022 - mdpi.com
The rapid growth and adaptation of medical information to identify significant health trends
and help with timely preventive care have been recent hallmarks of the modern healthcare …

A method for improving prediction of human heart disease using machine learning algorithms

A Saboor, M Usman, S Ali, A Samad… - Mobile Information …, 2022 - Wiley Online Library
A great diversity comes in the field of medical sciences because of computing capabilities
and improvements in techniques, especially in the identification of human heart diseases …

hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost

P Srinivas, R Katarya - Biomedical Signal Processing and Control, 2022 - Elsevier
Cardiovascular disease is a dangerous disorder that causes the most significant number of
deaths across the world. In the past years, researchers proposed several automated …