Comparison of machine learning algorithms to SAPS II in predicting in-hospital mortality of fractures of the pelvis and acetabulum: analyzes based on MIMIC-III database

Comparison of machine learning algorithms to SAPS II in predicting in-hospital mortality of fractures of the pelvis and acetabulum: analyzes based on MIMIC-III database

Fractures of pelvis and acetabulum are at high risk of death worldwide. However, the capability of mortality prediction by the conventional system Simple Acute Physiologic Score (SAPS) II remains limited. Here, we hypothesized that the use of machine learning (ML) algorithms could provide better per...

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Bibliographic Details
Main Authors: Xiang Jiang, Weifan Dai, Yanrong Cai
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:All Life
Subjects:
mortality prediction
pelvic trauma
acetabular fractures
saps ii
mimic
machine learning (ml)
Online Access:http://dx.doi.org/10.1080/26895293.2022.2125448

Internet

http://dx.doi.org/10.1080/26895293.2022.2125448

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