A privacy preserving framework for federated learning in smart healthcare systems

W Wang, X Li, X Qiu, X Zhang, V Brusic… - Information Processing & …, 2023 - Elsevier
Federated Learning (FL) is a platform for smart healthcare systems that use wearables and
other Internet of Things enabled devices. However, source inference attacks (SIAs) can infer …

[HTML][HTML] Logistic regression technique for prediction of cardiovascular disease

G Ambrish, B Ganesh, A Ganesh, C Srinivas… - Global Transitions …, 2022 - Elsevier
One of the most life-threatening disease is cardiovascular disease. Its high mortality rate
contributes to nearly 17 million deaths all over the world. Early diagnosis helps to treat the …

[HTML][HTML] Cardiac disease detection using cuckoo search enabled deep belief network

P Nandakumar, S Narayan - Intelligent Systems with Applications, 2022 - Elsevier
Cardiac disease is the most infected disease in the world nowadays for all ages of people.
An emergency need arises to predict cardiac disease accurately in a short time. In this …

[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 …

Model for predicting heart failure using Random Forest and Logistic Regression algorithms

V Grgić, D Mušić, E Babović - IOP Conference Series: Materials …, 2021 - iopscience.iop.org
The paper analyzes the cardiovascular parameters of patients with heart disease. The aim of
this study was to predict death in a patient with cardiovascular disease based on 12 …

Precise Prediction of Cardiovascular Diseases Using Machine Learning

G Revathy, S Venkateswaran… - … and Systems for …, 2023 - ieeexplore.ieee.org
Cardiovascular disease is among the conditions that pose the greatest risk to life. Nearly 17
million people die as a result of its high mortality rate worldwide. To treat the illness quickly …

DEVELOPMENT OF HEART ATTACK PREDICTION MODEL BASED ON ENSEMBLE LEARNING.

OS Hasan, IA Saleh - Eastern-European Journal of …, 2021 - search.ebscohost.com
With the advent of the data age, the continuous improvement and widespread application of
medical information systems have led to an exponential growth of biomedical data, such as …

Early Prediction of Cardiac Diseases Using Ensemble Learning Techniques: A Machine Learning Technique to Deal with Heart Disease Problems

R Sen, A Manimaran - … of Optimization and Machine Learning in Image … - taylorfrancis.com
Nowadays, collected data history can be utilized to foresee potential patterns and assist
businesses in making competitive decisions that will improve their success and benefits …

Dynamic Weighted Feature Subset Logistic Regression Model for Heart Disease Prediction

PS Krishna, MSR Sri, RSL Triveni, T Sivathmika… - International Conference …, 2023 - Springer
Predicting heart disease is one of the medical industry's toughest challenges. Heart disease,
also known as cardiovascular disease, is an umbrella term for a variety of conditions …

Cardiovascular Disease Prediction and Comparative Analysis of Varied Classifier Techniques

S Kusuma, KR Jothi - 2021 2nd Global Conference for …, 2021 - ieeexplore.ieee.org
Heart disease is one of the leading causes of death in the world. Early detection is a
challenging task for medical practitioners to save lives and reduce the mortality rate of …