Prognosis Analysis of Heart Failure Based on Recurrent Attention Model

ConclusionExperiments show that the prognostic effect of the recurrent attention model is significantly higher than that of other traditional machine learning models. Because the model increases the attention mechanism, the important features affecting the prognostic results are obtained, which enables doctors to prescribe drugs according to the symptoms, take timely precautions and help patients to treat in time.Graphical abstract
Source: IRBM - Category: Biomedical Engineering Source Type: research