Development and validation of inpatient mortality prediction models for patients with hyperglycemic crisis using machine learning approaches

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Publication Details

Journal
BMC Endocrine Disorders
Published
2025-03-26
DOI
https://doi.org/10.1186/s12902-025-01873-9
Citations
3
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
7.44
Controls
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article

Development and validation of inpatient mortality prediction models for patients with hyperglycemic crisis using machine learning approaches

Kebiao Zhang, Manping Gu, Hong Li, Rui He
3 citations
BMC Endocrine Disorders
Machine Learning in Healthcare
7.44
article

Development and validation of inpatient mortality prediction models for patients with hyperglycemic crisis using machine learning approaches

Kebiao Zhang, Manping Gu, Hong Li, Rui He
article en
3 citations

Abstract

No abstract available for this paper.
BMC Endocrine DisordersVol. 25(1)
The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 4%
Machine Learning in Healthcare
7.44
DOIOpen Access PDFOpenAlex
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Development and validation of inpatient mortality prediction models for patients with hyperglycemic crisis using machine learning approaches — Kebiao Zhang, Manping Gu, et al. · BMC Endocrine Disorders (2025) | TGRS Research Map | TGRS