2026-10-13T14:44:39Z https://www.scidb.cn/oai

10.11922/sciencedb.00787 2022-08-24T15:26:43Z

2022-08-24 Mortality Prediction MIMIC-III doi:10.11922/sciencedb.00787 en This new dataset was established according to the MIMIC III dataset, an openly available database developed by The Laboratory of Computational Physiology at Massachusetts Institute of Technology (MIT), which consists of data from more than 25,000 patients who were admitted to the Beth Israel Deaconess Medical Center (BIDMC) since 2003 and who have been de-identified for information safety. Here, we identified patients who were diagnosed as pelvic, acetabular, or combined pelvic and acetabular fractures according to ICD-9 code and who survived at least 72 hours after the ICU admission. All the data within the first 72 hours following ICU admission were collected and extracted from the MIMIC-III clinical database version 1.4. Mortality prediction; Pelvic trauma; Acetabular fracture; SAPSII; MIMIC-III; Machine learning Yanrong Cai PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank