Establishment and external validation of an early warning model of diabetic peripheral neuropathy based on random forest and logistic regression

The developed nomogram exhibits promise as an effective tool for the diagnosis of diabetic peripheral neuropathy in clinical settings.

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Publication Details

Journal
BMC Endocrine Disorders
Published
2024-09-20
DOI
https://doi.org/10.1186/s12902-024-01728-9
Citations
4
Primary Topic
Pain Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
1.31

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article

Establishment and external validation of an early warning model of diabetic peripheral neuropathy based on random forest and logistic regression

Guo-Ming Shen, Yixuan Lin, Zhaohui Fang, Lujie Wang et al.
4 citations
BMC Endocrine Disorders
Pain Mechanisms and Treatments
1.31
article

Establishment and external validation of an early warning model of diabetic peripheral neuropathy based on random forest and logistic regression

Guo-Ming Shen, Yixuan Lin, Zhaohui Fang, Lujie Wang, Huilun Yuan, Aijuan Jiang, Aihua Fei, Jiajie Li
article en
4 citations

Abstract

The developed nomogram exhibits promise as an effective tool for the diagnosis of diabetic peripheral neuropathy in clinical settings.

BMC Endocrine DisordersVol. 24(1)
Yunnan University (CN), Anhui Medical University (CN), Anhui University of Traditional Chinese Medicine (CN), Second Affiliated Hospital of Anhui Medical University (CN)
National Natural Science Foundation of China, Anhui Provincial Key Research and Development Plan
Climate action
Openalex Percentile: Top 19%
Pain Mechanisms and Treatments
1.31
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