Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method

Abstract Background The worldwide prevalence of type 2 diabetes mellitus in adults is experiencing a rapid increase. This study aimed to identify the factors affecting the survival of prediabetic patients using a comparison of the Cox proportional hazards model (CPH) and the Random survival forest (...

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Bibliografische gegevens

Hoofdauteurs:	Mehdi Sharafi, Mohammad Ali Mohsenpour, Sima Afrashteh, Mohammad Hassan Eftekhari, Azizallah Dehghan, Akram Farhadi, Aboubakr Jafarnezhad, Abdoljabbar Zakeri, Mehdi Azizmohammad Looha
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	BMC 2024-09-01
Reeks:	BMC Medical Informatics and Decision Making
Onderwerpen:	Survival analysis Prediabetic Cox regression model Random Survival Forest Afternoon sleep Depression
Online toegang:	https://doi.org/10.1186/s12911-024-02648-3
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