Trends in using IoT with machine learning in health prediction system

A Aldahiri, B Alrashed, W Hussain - Forecasting, 2021 - mdpi.com
Machine learning (ML) is a powerful tool that delivers insights hidden in Internet of Things
(IoT) data. These hybrid technologies work smartly to improve the decision-making process …

Extensive review on the role of machine learning for multifactorial genetic disorders prediction

DD Solomon, Sonia, K Kumar, K Kanwar, S Iyer… - … Methods in Engineering, 2024 - Springer
The culture of employing machine learning driven assistance and decision making is
currently adopted by a variety of industries. Artificial intelligence encompasses a wide range …

[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 …

Comparative study of optimum medical diagnosis of human heart disease using machine learning technique with and without sequential feature selection

GN Ahmad, S Ullah, A Algethami, H Fatima… - ieee …, 2022 - ieeexplore.ieee.org
Predicting heart disease is regarded as one of the most difficult challenges in the health-
care profession. To predict cardiac disease, researchers employed a variety of algorithms …

Empirical analysis of machine learning algorithms on imbalance electrocardiogram based arrhythmia dataset for heart disease detection

S Ketu, PK Mishra - Arabian Journal for Science and Engineering, 2022 - Springer
Living beings are subjected to many hazards during their course of life. Owing to high
mortality rate, heart disease (HD) is among leading hazards for living being. It is world's one …

[PDF][PDF] Perbandingan Kinerja Algoritma untuk Prediksi Penyakit Jantung dengan Teknik Data Mining

D Derisma - Journal of Applied Informatics and Computing, 2020 - core.ac.uk
Heart disease is a disease that contributes to a relatively high mortality rate. The rate of
human death caused by disease in the heart is a widespread problem in the world. The …

[HTML][HTML] Integrating explainable machine learning and user-centric model for diagnosing cardiovascular disease: A novel approach

G Dharmarathne, M Bogahawaththa… - Intelligent Systems with …, 2024 - Elsevier
Conventional machine learning techniques in diagnosing cardiovascular disease have a
limitation owing to the lack of interpretability of models. This study utilised an explainable …

A Review of Machine Learning's Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges

MA Naser, AA Majeed, M Alsabah, TR Al-Shaikhli… - Algorithms, 2024 - mdpi.com
Cardiovascular disease is the leading cause of global mortality and responsible for millions
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …

Exploring Predictive Methods for Cardiovascular Disease: A Survey of Methods and Applications

VV Paul, JAIS Masood - IEEE Access, 2024 - ieeexplore.ieee.org
Because cardiovascular disease (CVD) is still one of the world's leading causes of death,
sophisticated predictive models are required for early detection and prevention. This study …

A review of smart sensors coupled with Internet of Things and Artificial Intelligence approach for heart failure monitoring

MR Maurya, NUSS Riyaz, MSB Reddy… - Medical & Biological …, 2021 - Springer
Over the last decade, there has been a huge demand for health care technologies such as
sensors-based prediction using digital health. With the continuous rise in the human …