The aim of this study was to design a deep learning-based trained model to assist in HFimpEF diagnosis.
Study Type
OBSERVATIONAL
Enrollment
422
Yihui Kong
Harbin, Heilongjiang, China
change of left ventricular ejection fraction
left ventricular ejection fraction value in millimeters
Time frame: 3 months
change of clinical predictor of EF improvement
weight in kilograms, height in meters(weight and height will be combined to report BMI in kg/m\^2)
Time frame: 3 months
the independent clinical predictor of HFimpEF
prealbumin in mg/L
Time frame: 3 months
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