Results 171 to 180 of about 1,021,856 (349)
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
Prevalence and prognostic impact of coronary artery disease in heart failure with preserved ejection fraction [PDF]
M. Shiba +14 more
openalex +1 more source
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan +3 more
wiley +1 more source
Growing Epidemic of Coronary Heart Disease in Low- and Middle-Income Countries
Thomas A. Gaziano +4 more
openalex +2 more sources
Plasma cholesterol, coronary heart disease, and cancer: Authors' reply [PDF]
Chris Isles +4 more
openalex +1 more source
VOLEMIC AND HEMODYNAMIC STATUS OF PATIENTS WITH COMORBIDITY OF CORONARY HEART DISEASE AND COPD BEFORE AND AFTER MYOCARDIAL REVASCULARIZATION [PDF]
E. SERGEEV, B. GELSER
openalex +1 more source
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source

