CARDPSoML: Comparative approach to analyze and predict cardiovascular disease based on medical report data and feature fusion approach.
Anurag SinhaDev NarulaSaroj Kumar PandeyAnkit KumarMd Mehedi HassanPooja JhaBiresh KumarManish Kumar TiwariPublished in: Health science reports (2024)
The recommended method shows potential as a useful tool for developing clinical decision support systems and for the early detection of CVD in diabetes patients. To further improve diagnostic skills, future research projects may examine the use of bigger and more varied datasets as well as different machine learning approaches. Using an organized strategy is a crucial first step in tackling the serious problem of CVD in people with diabetes.
Keyphrases
- cardiovascular disease
- machine learning
- clinical decision support
- type diabetes
- electronic health record
- end stage renal disease
- ejection fraction
- newly diagnosed
- glycemic control
- chronic kidney disease
- healthcare
- big data
- deep learning
- peritoneal dialysis
- prognostic factors
- artificial intelligence
- patient reported outcomes
- adipose tissue
- human health
- skeletal muscle
- weight loss