Disease risk analysis for schizophrenia patients by an automatic AHP framework.

Wenyan TanHeng WengHaicheng LinAihua OuZehui HeFujun Jia

Published in: BMC medical informatics and decision making (2022)

Aiming at the risk assessment of patients with schizophrenia which is influenced by factors, such as time, region and complication, the AutoAHP framework is able to be applied as a model in combination with logistic regression and Cox models to support clinical analysis of disease risk related factors and assist decision-making in chronic disease management.

Keyphrases

risk assessment
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
prognostic factors
machine learning
deep learning