筋膜炎
糖尿病足
骨髓炎
接收机工作特性
糖尿病
多学科方法
脚(韵律)
生物
内科学
重症监护医学
计算机科学
机器学习
外科
医学
内分泌学
哲学
社会学
语言学
社会科学
作者
Jiye Kim,Jiye Kim,Gilsung Yoo,Taesic Lee,Jeong Ho Kim,Jeong Ho Kim,Dong Min Seo,Juwon Kim,Juwon Kim
出处
期刊:Biology
[Multidisciplinary Digital Publishing Institute]
日期:2022-09-03
卷期号:11 (9): 1310-1310
被引量:11
标识
DOI:10.3390/biology11091310
摘要
Diabetic foot ulcers (DFUs) and their life-threatening complications, such as necrotizing fasciitis (NF) and osteomyelitis (OM), increase the healthcare cost, morbidity and mortality in patients with diabetes mellitus. While the early recognition of these complications could improve the clinical outcome of diabetic patients, it is not straightforward to achieve in the usual clinical settings. In this study, we proposed a classification model for diabetic foot, NF and OM. To select features for the classification model, multidisciplinary teams were organized and data were collected based on a literature search and automatic platform. A dataset of 1581 patients (728 diabetic foot, 76 NF, and 777 OM) was divided into training and validation datasets at a ratio of 7:3 to be analyzed. The final prediction models based on training dataset exhibited areas under the receiver operating curve (AUC) of the 0.80 and 0.73 for NF model and OM model, respectively, in validation sets. In conclusion, our classification models for NF and OM showed remarkable discriminatory power and easy applicability in patients with DFU.
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