Development and validation of prediction model using nursing notes on sentiment scores for prognosis of patients with severe acute kidney injury receiving continuous renal replacement therapy based on computational intelligence algorithms.

Zha, Danfeng; Yang, Xionghao; Zhang, Haifen; Xu, Li; Jin, Yan; Li, Na; Yang, Li

Zha, Danfeng; Yang, Xionghao; Zhang, Haifen; Xu, Li; Jin, Yan; Li, Na; Yang, Li.

Afiliación

Zha D; Department Nephrology, Renji Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yang X; Hemodialysis Center, Yangpu Hospital, Tongji University, Shanghai, China.
Zhang H; Hemodialysis Center, Renji Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xu L; Coronary Care Unit, Renji Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jin Y; Department Nephrology, Renji Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China.
Li N; Department Nephrology, Renji Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yang L; General Surgery Department, Renji Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China.

Ann Transl Med ; 10(20): 1110, 2022 Oct.

Article en En | MEDLINE | ID: mdl-36388821

Palabras clave

Nursing notes; acute kidney injury (AKI); continuous renal replacement therapy (CRRT); prognosis; sentiment scores

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Transl Med Año: 2022 Tipo del documento: Article País de afiliación: China

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