Improving Prediction Efficiency of Machine Learning Models for Cardiovascular Disease in IoST-Based Systems through Hyperparameter Optimization
Source abstract
Abstract
This study explores the impact of hyperparameter optimization on machine learning models for predicting cardiovascular disease using data from an IoST (Internet of Sensing Things) device. Ten distinct machine learning approac... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Artificial Intelligence in Healthcare
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (29)
Show source-provided references
1. A cell phone-based health monitoring system with self analysis processor using wireless sensor network technology
2. ADEPTNESS: Alzheimer’s disease patient management system using pervasive sensors-Early prototype and preliminary results
3. IoST-enabled robotic arm control and abnormality prediction using minimal flex sensors and gaussian mixture models10.1109/ACCESS.2024.3380360 ↗
4. Remote health monitoring using wireless body area network
5. Deep learning for healthcare: Review, opportunities and challenges10.1093/bib/bbx044 ↗
6. Mining biosignal data: Coronary artery disease diagnosis using linear and nonlinear features of HRV
7. Heart attack detection using smart phone
8. Diagnostic inferencing via improving clinical concept extraction with deep reinforcement learning: A preliminary study
9. Heart disease prediction using machine learning techniques10.1007/s42979-020-00365-y ↗
10. Performance evaluation of different machine learning techniques for prediction of heart disease10.1007/s00521-016-2604-1 ↗
11. Effective heart disease prediction using hybrid machine learning techniques10.1109/ACCESS.2019.2923707 ↗
12. Heart disease prediction using machine learning algorithms
13. Heart disease prediction using hybrid machine learning model
14. Using machine learning for heart disease prediction
15. Predicting heart failure disease using machine learning
16. Prediction of cardiovascular disease using machine learning algorithms
17. A hybrid intelligent system framework for the prediction of heart disease using machine learning algorithms
18. IoT based heart disease prediction and diagnosis model for healthcare using machine learning models
19. Improving risk prediction in heart failure using machine learning10.1002/ejhf.1628 ↗
20. Heart disease detection by using machine learning algorithms and a real-time cardiovascular health monitoring system10.4236/wjet.2018.64057 ↗
21. Heart diseases prediction using machine learning
22. Predictive analysis of heart diseases with machine learning approaches
23. Multi head deep neural network prediction methodology for high-risk cardiovascular disease on diabetes mellitus
24. Deep learning approach for automatic cardiovascular disease prediction employing ECG signals
25. Improvement of heart attack prediction by the feature selection methods10.3906/elk-1611-235 ↗
26. Implementation of machine learning model to predict heart failure disease
27. Prediction of heart disease using a combination of machine learning and deep learning
28. Heart attack prediction using machine learning
29. Riyaz · Int. Conf. Innov. Comput. Commun. · Feb. 20–21, 2022 · 81