[HTML][HTML] Smart healthcare disease diagnosis and patient management: Innovation, improvement and skill development

A Ray, AK Chaudhuri - Machine Learning with Applications, 2021 - Elsevier
Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …

An integrated machine learning framework for effective prediction of cardiovascular diseases

A Rahim, Y Rasheed, F Azam, MW Anwar… - IEEE …, 2021 - ieeexplore.ieee.org
Cardiovascular diseases are considered as the most life-threatening syndromes with the
highest mortality rate globally. Over a period of time, they have become very common and …

Early prediction in classification of cardiovascular diseases with machine learning, neuro-fuzzy and statistical methods

O Taylan, AS Alkabaa, HS Alqabbaa, E Pamukçu… - Biology, 2023 - mdpi.com
Simple Summary Timely and accurate detection of cardiovascular diseases is critical to
reduce the risk of myocardial infarction. This article proposes a methodology using machine …

Diagnosis of heart diseases by a secure internet of health things system based on autoencoder deep neural network

O Deperlioglu, U Kose, D Gupta, A Khanna… - Computer …, 2020 - Elsevier
Objective of this study is to introduce a secure IoHT system, which acts as a clinical decision
support system with the diagnosis of cardiovascular diseases. In this sense, it was …

Machine learning and deep learning techniques on accurate risk prediction of coronary heart disease

MS Gangadhar, KVS Sai, SHS Kumar… - 2023 7th …, 2023 - ieeexplore.ieee.org
Coronary artery disorder is the heart disease that is prevalent across the globe today. It's a
serious issue for the humans as it requires proper diagnosis. Coronary artery disease …

Forecasting coronary heart disease risk with a 2-step hybrid ensemble learning method and forward feature selection algorithm

SC Patra, BU Maheswari, PB Pati - IEEE Access, 2023 - ieeexplore.ieee.org
Detecting cardiovascular irregularities in a timely manner is crucial for preventing any fatal
risks. This research aims to devise an efficient forecasting algorithm for the timely prognosis …

Exploring machine learning techniques for coronary heart disease prediction

H Khdair - 2021 - philpapers.org
Abstract Coronary Heart Disease (CHD) is one of the leading causes of death nowadays.
Prediction of the disease at an early stage is crucial for many health care providers to protect …

RETRACTED ARTICLE: 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 …

Study of feature extraction algorithms on photoplethysmography (ppg) signals to detect coronary heart disease

MF Ihsan, S Mandala… - … Conference on Data …, 2022 - ieeexplore.ieee.org
Coronary Heart Disease (CHD) is the most dangerous heart disease, this disease occurs,
when the blood supply containing oxygen and nutrients to the heart muscle blocked by …

Combining clinical symptoms and patient features for malaria diagnosis: machine learning approach

M Mariki, E Mkoba, N Mduma - Applied Artificial Intelligence, 2022 - Taylor & Francis
Presumptive treatment and self-medication for malaria have been used in limited-resource
countries. However, these approaches have been considered unreliable due to the …