Classification Model for Diabetic Foot, Necrotizing Fasciitis, and Osteomyelitis

被引:6
作者
Kim, Jiye [1 ]
Yoo, Gilsung [2 ]
Lee, Taesic [3 ,4 ,5 ]
Kim, Jeong Ho [1 ]
Seo, Dong Min [6 ]
Kim, Juwon [2 ,5 ]
机构
[1] Yonsei Univ, Dept Plast Surg, Wonju Coll Med, Wonju 26411, South Korea
[2] Yonsei Univ, Dept Lab Med, Wonju Coll Med, Wonju 26411, South Korea
[3] Wonju Severance Christian Hosp, Inst Global Hlth Care & Dev, Div Data Min & Computat Biol, Wonju 26411, South Korea
[4] Yonsei Univ, Dept Family Med, Wonju Coll Med, Wonju 26411, South Korea
[5] Wonju Severance Christian Hosp, Ctr Precis Med & Genom, Wonju 26411, South Korea
[6] Yonsei Univ, Dept Med Informat, Wonju Coll Med, Wonju 26411, South Korea
来源
BIOLOGY-BASEL | 2022年 / 11卷 / 09期
关键词
diabetic foot ulcer; necrotizing fasciitis; osteomyelitis; machine learning; LABORATORY RISK INDICATOR; DIAGNOSTIC-ACCURACY; INFECTION; DISEASE; ULCERS; INDIVIDUALS; MANAGEMENT; SCORE; TOOL;
D O I
10.3390/biology11091310
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
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.
引用
收藏
页数:13
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