Research advances in machine learning models for acute pancreatitis / 临床肝胆病杂志
Journal of Clinical Hepatology
;
(12): 2978-2984, 2023.
Artículo
en Chino
| WPRIM
| ID: wpr-1003294
ABSTRACT
Acute pancreatitis (AP) is a gastrointestinal disease that requires early intervention, and when it progresses to moderate-severe AP (MSAP) or severe AP (SAP), there will be a significant increase in the mortality rate of patients. Machine learning (ML) has achieved great success in the early prediction of AP using clinical data with the help of its powerful computational and learning capabilities. This article reviews the research advances in ML in predicting the severity, complications, and death of AP, so as to provide a theoretical basis and new insights for clinical diagnosis and treatment of AP through artificial intelligence.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Idioma:
Chino
Revista:
Journal of Clinical Hepatology
Año:
2023
Tipo del documento:
Artículo
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