A Machine Learning Based Framework for Heart Disease Detection

H Pallathadka, M Naved, K Phasinam… - ECS …, 2022 - iopscience.iop.org
Even in rural parts of many nations, coronary heart disease has emerged as the main cause
of mortality. More than 23 million people will die from cardiovascular disease by 2030 …

Anxiety Prediction and Analysis-A Machine Learning Based Approach

SA Farooq, O Konda, A Kunwar… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Anxiety is considered a psychological disorder that causes stress, emotional trauma, and so
forth, which affects a person both mentally and physically. This condition causes a person to …

Prediction of risk in cardiovascular disease using machine learning algorithms

NS Kurian, KS Renji, S Sajithra… - … Computing and Data …, 2022 - ieeexplore.ieee.org
Prediction of heart disease is one of the most complex tasks in medical field and prior
detection of heart disease become an area of research to save patient lives. During the …

DCD_PREDICT: Using Big Data on Prediction for Chest Diseases by Applying Machine Learning Algorithms

U Kulkarni, S Gawade, H Palivela… - … of IoT, Cloud and Big Data …, 2023 - Springer
Technology with system learning algorithms is frequently utilized in the medical domains to
estimate disorders. Through the provision of some reference guidelines, it assists in the real …

Implementation of artificial intelligence in disease prediction and healthcare system-a survey

F Deeba, SR Patil - 2021 Innovations in Power and Advanced …, 2021 - ieeexplore.ieee.org
In the current years, artificial intelligence is bringing a great revolution in different fields,
especially in the field of medicine and healthcare. It is witnessing and gaining much …

Federated learning and artificial intelligence in e-healthcare

M Gupta, P Sharma, R Kalra - … Learning and AI for Healthcare 5.0, 2024 - igi-global.com
Federated Learning (FL), a novel distributed interactive AI paradigm, holds particular
promise for smart healthcare since it enables many clients including hospitals to take part in …

Explainable artificial intelligence (XAI): Conception, visualization and assessment approaches towards amenable XAI

T Nizam, S Zafar - Explainable Edge AI: A Futuristic Computing …, 2022 - Springer
For last decade, due to the accessibility of huge databases and recent advancements in
deep learning methodology, machine learning systems have arrived at or transcended …

[HTML][HTML] Machine learning approach for predicting cardiovascular disease in Bangladesh: evidence from a cross-sectional study in 2023

S Hossain, MK Hasan, MO Faruk, N Aktar… - BMC Cardiovascular …, 2024 - Springer
Abstract Background Cardiovascular disorders (CVDs) are the leading cause of death
worldwide. Lower-and middle-income countries (LMICs), such as Bangladesh, are also …

Cardiovascular disease prediction with imputation techniques and recursive feature elimination

VPC Magboo, MSA Magboo - AIP Conference Proceedings, 2023 - pubs.aip.org
Heart disease is a chronic medical condition with significant burden to healthcare systems.
Around 17.9 million deaths were attributed to diseases of the heart last 2019. Important risk …

Explainable coronary artery disease prediction model based on AutoGluon from AutoML framework

J Wang, Q Xue, CWJ Zhang, KKL Wong… - Frontiers in …, 2024 - frontiersin.org
Objective This study focuses on the innovative application of Automated Machine Learning
(AutoML) technology in cardiovascular medicine to construct an explainable Coronary Artery …