Ensemble framework for cardiovascular disease prediction

A Tiwari, A Chugh, A Sharma - Computers in Biology and Medicine, 2022 - Elsevier
Heart disease is the major cause of non-communicable and silent death worldwide. Heart
diseases or cardiovascular diseases are classified into four types: coronary heart disease …

iCYP-MFE: Identifying human cytochrome P450 inhibitors using multitask learning and molecular fingerprint-embedded encoding

TH Nguyen-Vo, QH Trinh, L Nguyen… - Journal of Chemical …, 2021 - ACS Publications
The human cytochrome P450 (CYP) superfamily holds responsibilities for the metabolism of
both endogenous and exogenous compounds such as drugs, cellular metabolites, and …

DASMcC: Data Augmented SMOTE Multi-class Classifier for prediction of Cardiovascular Diseases using time series features

N Sinha, MAG Kumar, AM Joshi… - IEEE Access, 2023 - ieeexplore.ieee.org
One of the leading causes of mortality worldwide is cardiovascular disease (CVD).
Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart's …

Stress classification and vital signs forecasting for IoT-health monitoring

T Bhavani, P VamseeKrishna… - IEEE/ACM …, 2022 - ieeexplore.ieee.org
Health monitoring embedded with intelligence is the demand of the day. In this era of a large
population with the emergence of a variety of diseases, the demand for healthcare facilities …

Heart Disease Prediction Using Machine Learning: A Systematic Literature Review

SD Prakoso, AE Permanasari… - 2023 10th International …, 2023 - ieeexplore.ieee.org
Heart disease, categorized as a cardiovascular condition, stands as a prominent factor in
worldwide mortality, accounting for approximately 32% of all deaths globally. It manifests …

[HTML][HTML] An Integrated Machine Learning Approach for Congestive Heart Failure Prediction

MS Singh, K Thongam, P Choudhary, PK Bhagat - Diagnostics, 2024 - mdpi.com
Congestive heart failure (CHF) is one of the primary sources of mortality and morbidity
among the global population. Over 26 million individuals globally are affected by heart …

Rotation forest ensemble classifier to improve the cardiovascular disease risk prediction accuracy

KVV Reddy, I Elamvazuthi, A Abd Aziz… - … on Information and …, 2021 - ieeexplore.ieee.org
Heart disease risk prediction is very important as it is one of the primary causes of sudden
death in the world. Early-stage prediction can save the lives by undergoing appropriate …

A hybrid model for decision-making in interventional medicine

GSN Rao - … Conference on Artificial Intelligence and Smart …, 2022 - ieeexplore.ieee.org
Interventional medicine is considered as one of the mostpromising advancement in the
medical field. It is a very useful technology for assisting different medical procedures such as …

Optimizing Heart Disease Classification: Exploring the Impact of Feature Selection and Performance of Machine Learning Algorithms

A Maulana, FR Faisyal, FK Tarmizi, TF Abidin… - … Conference on Data …, 2023 - Springer
This study aimed to predict heart disease using machine learning models and feature
selection techniques. The Cleveland Clinic Heart Disease dataset was used. Some feature …

Drop Out Rate Optimized MobileNet for Health State Classification Using Heart MRI

MS Devi, K Dinesh - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Cardiovascular disease is a serious ailment that affects many individuals, and it is an
acronym used to describe various cardiac disorders. The categorization of heart disease …