Developing a nomogram for predicting depression in diabetic patients after COVID-19 using machine learning

OBJECTIVE: This study identified major risk factors for depression in community diabetic patients using machine learning techniques and developed predictive models for predicting the high-risk group for depression in diabetic patients based on multiple risk factors. METHODS: This study analyzed 26,8...

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Detalles Bibliográficos
Autor principal: Byeon, Haewon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390766/
https://www.ncbi.nlm.nih.gov/pubmed/37533521
http://dx.doi.org/10.3389/fpubh.2023.1150818

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390766/
https://www.ncbi.nlm.nih.gov/pubmed/37533521
http://dx.doi.org/10.3389/fpubh.2023.1150818

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