Preoperatively predicting the pathological types of acute appendicitis using machine learning based on peripheral blood biomarkers and clinical features: a retrospective study

BACKGROUND: This study aimed to establish machine learning models for preoperative prediction of the pathological types of acute appendicitis. METHODS: Based on histopathology, 136 patients with acute appendicitis were included and divided into three types: acute simple appendicitis (SA, n=8), acute...

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Detalles Bibliográficos
Autores principales: Kang, Chun-Bo, Li, Xiao-Wei, Hou, Shi-Yang, Chi, Xiao-Qian, Shan, Hai-Feng, Zhang, Qi-Jun, Li, Xu-Bin, Zhang, Jie, Liu, Tie-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184413/
https://www.ncbi.nlm.nih.gov/pubmed/34164469
http://dx.doi.org/10.21037/atm-20-7883

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184413/
https://www.ncbi.nlm.nih.gov/pubmed/34164469
http://dx.doi.org/10.21037/atm-20-7883

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