[HTML][HTML] Iot-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning

AA Nancy, D Ravindran, PMD Raj Vincent… - Electronics, 2022 - mdpi.com
The Internet of Things confers seamless connectivity between people and objects, and its
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …

[HTML][HTML] Analyzing the impact of feature selection on the accuracy of heart disease prediction

MS Pathan, A Nag, MM Pathan, S Dev - Healthcare Analytics, 2022 - Elsevier
Heart Disease has become one of the most serious diseases that has a significant impact on
human life. It has emerged as one of the leading causes of mortality among the people …

An automatic heart disease prediction using cluster-based bi-directional LSTM (C-BiLSTM) algorithm

P Dileep, KN Rao, P Bodapati, S Gokuruboyina… - Neural Computing and …, 2023 - Springer
Heart disease involves many diseases like block blood vessels, heart attack, chest pain or
stroke. Heart disease will affect the muscles, valves or heart rate, and bypass surgery or …

[PDF][PDF] Deep learning models on Heart Disease Estimation-A review

TM Sharean, G Johncy - Journal of Artificial Intelligence, 2022 - researchgate.net
Heart disease, also known as cardiovascular disease (CVD), is the foremost among all
widespread diseases in the people community. Any disorder that affects the heart's function …

[HTML][HTML] The complementary roles of genome-wide approaches in identifying genes linked to an inherited risk of colorectal cancer

O Ahmad, A Försti - Hereditary Cancer in Clinical Practice, 2023 - Springer
The current understanding of the inherited risk of colorectal cancer (CRC) started with an
observational clinical era in the late 19th century, which was followed by a genetic era …

Effective heart disease prediction using improved particle swarm optimization algorithm and ensemble classification technique

NV MahaLakshmi, RK Rout - Soft Computing, 2023 - Springer
In recent times, heart disease has been the significant cause of mortality worldwide, where
cardiovascular disease prediction is a challenging task in clinical data valuation. Notably …

[HTML][HTML] Mixed machine learning approach for efficient prediction of human heart disease by identifying the numerical and categorical features

GN Ahmad, H Fatima, M Abbas, O Rahman… - Applied Sciences, 2022 - mdpi.com
Heart disease is a danger to people's health because of its prevalence and high mortality
risk. Predicting cardiac disease early using a few simple physical indications collected from …

[HTML][HTML] A novel feature selection with hybrid deep learning based heart disease detection and classification in the e-healthcare environment

B Dwarakanath, M Latha, R Annamalai… - Computational …, 2022 - ncbi.nlm.nih.gov
With the advancements in data mining, wearables, and cloud computing, online disease
diagnosis services have been widely employed in the e-healthcare environment and …

Multiple-criteria decision making, feature selection, and deep learning: A golden triangle for heart disease identification

A Najafi, A Nemati, M Ashrafzadeh… - Engineering Applications of …, 2023 - Elsevier
Cardiovascular diseases (CVD) are among the deadliest illnesses that suffer many people
worldwide. Nevertheless, an on-time diagnosis of heart disease can play a significant role in …

[Retracted] Forecasting the Applied Deep Learning Tools in Enhancing Food Quality for Heart Related Diseases Effectively: A Study Using Structural Equation Model …

SL Bangare, D Virmani, GR Karetla… - Journal of Food …, 2022 - Wiley Online Library
The term heart‐related disease is stated as the range of condition that impacts an individual
heart negatively. In the current scenario, cardiovascular diseases are causing more deaths …