Cardiovascular complications in a diabetes prediction model using machine learning: a systematic review

OT Kee, H Harun, N Mustafa, NA Abdul Murad… - Cardiovascular …, 2023 - Springer
Prediction model has been the focus of studies since the last century in the diagnosis and
prognosis of various diseases. With the advancement in computational technology, machine …

Analyze important features of PIMA Indian database for diabetes prediction using KNN

A Perdana, A Hermawan… - Jurnal Sisfokom (Sistem …, 2023 - jurnal.atmaluhur.ac.id
Diabetes is a chronic, non-communicable disease, and a long-term health condition that
affects how the body uses glucose, the type of sugar that gives energy. In Indonesia …

Cardiovascular disease prediction using ensemble learning techniques: A stacking approach

Z Rustamov, J Rustamov, MS Sultana… - 2023 19th IEEE …, 2023 - ieeexplore.ieee.org
Cardiovascular diseases (CVDs) are group disorders affecting the heart or involving
constricted blood arteries. Early disease detection increases the likelihood of survival. As a …

Deep learning for predicting congestive heart failure

F Goretti, B Oronti, M Milli, E Iadanza - Electronics, 2022 - mdpi.com
Congestive heart failure (CHF) is one of the most debilitating cardiac disorders. It is a costly
disease in terms of both lives and financial outlays, given the high rate of hospital re …

Optimized design of hybrid genetic algorithm with multilayer perceptron to predict patients with diabetes

OY Dweekat, SS Lam - Soft Computing, 2023 - Springer
Diabetes is a set of long-term metabolic issues characterized by high blood glucose levels
over a drawn-out time. It is a challenging and threatening disease because nearly half of …

[HTML][HTML] Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease

TO Omotehinwa, DO Oyewola, EG Moung - Informatics and Health, 2024 - Elsevier
Background Coronary heart disease (CHD) remains a prominent cause of mortality globally,
necessitating early and accurate detection methods. Traditional diagnostic approaches can …

[PDF][PDF] A comparative study of machine learning algorithms for the prediction of heart disease

H Arghandabi, P Shams - … Journal for Research in Applied Science …, 2020 - academia.edu
The heart is a significant organ of the human body. These days heart disease has become
an important issue in humans, nearly one person dies per minute. To deal with this problem …

A comprehensive hybrid model for early detection of cardiovascular diseases using integrated CardioXGBoost and long short-term memory networks

S Anbazhagan, SS Ranganathan… - … Signal Processing and …, 2024 - Elsevier
This study focused on cardiovascular diseases (CVDs), the leading cause of mortality
worldwide, and investigates whether genetics and lifestyle interact to develop efficient …

Privacy-Preserving Statistical Data Generation: Application to Sepsis Detection

E Macias-Fassio, A Morales, C Pruenza… - arXiv preprint arXiv …, 2024 - arxiv.org
The biomedical field is among the sectors most impacted by the increasing regulation of
Artificial Intelligence (AI) and data protection legislation, given the sensitivity of patient …

Efficient prediction of heart disease using cross machine learning techniques

S Mistry, L Wang - 2022 IEEE Asia-Pacific Conference on …, 2022 - ieeexplore.ieee.org
Cardiovascular malady is top of the foremost specifics causes of deaths within the all over
the world nowadays. Prediction of heart disease infection may be a basic face within the …