Deep Learning Improves Prediction of Cardiovascular Disease-Related Mortality and Admission in Patients with Hypertension: Analysis of the Korean National Health Information Database.
Seung-Jae LeeSung-Ho LeeHyo-In ChoiJong-Young LeeYong Whi JeongDae Ryong KangKi Chul SungPublished in: Journal of clinical medicine (2022)
The deep learning model could accurately predict CVD hospitalization and death within a year in patients with hypertension. The findings of this study could allow for prevention and monitoring by allocating resources to high-risk patients.
Keyphrases
- deep learning
- health information
- cardiovascular disease
- blood pressure
- end stage renal disease
- social media
- ejection fraction
- newly diagnosed
- chronic kidney disease
- emergency department
- artificial intelligence
- cardiovascular events
- type diabetes
- convolutional neural network
- prognostic factors
- quality improvement
- risk factors
- metabolic syndrome