A diabetes risk score for Qatar utilizing a novel mathematical modeling approach to identify individuals at high risk for diabetes
Abstract We developed a diabetes risk score using a novel analytical approach and tested its diagnostic performance to detect individuals at high risk of diabetes, by applying it to the Qatari population. A representative random sample of 5,000 Qataris selected at different time points was simulated...
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Autores principales: | Susanne F. Awad, Soha R. Dargham, Amine A. Toumi, Elsy M. Dumit, Katie G. El-Nahas, Abdulla O. Al-Hamaq, Julia A. Critchley, Jaakko Tuomilehto, Mohamed H. J. Al-Thani, Laith J. Abu-Raddad |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/7fb478e20e8f46c4b29a1b003c980897 |
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