Estimate of the HOMA-IR Cut-off Value for Identifying Subjects at Risk of Insulin Resistance Using a Machine Learning Approach

OBJECTIVES: This study describes an unsupervised machine learning approach used to estimate the homeostatic model assessment-insulin resistance (HOMA-IR) cut-off for identifying subjects at risk of IR in a given ethnic group based on the clinical data of a representative sample. METHODS: The approac...

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Detalles Bibliográficos
Autores principales: Abdesselam, Abdelhamid, Zidoum, Hamza, Zadjali, Fahd, Hedjam, Rachid, Al-Ansari, Aliya, Bayoumi, Riad, Al-Yahyaee, Said, Hassan, Mohammed, Albarwani, Sulayma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sultan Qaboos University Medical Journal, College of Medicine & Health Sciences 2021
Materias:
Clinical & Basic Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631209/
https://www.ncbi.nlm.nih.gov/pubmed/34888081
http://dx.doi.org/10.18295/squmj.4.2021.030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631209/
https://www.ncbi.nlm.nih.gov/pubmed/34888081
http://dx.doi.org/10.18295/squmj.4.2021.030

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