The Pima Indian population of Arizona has one of the highest prevalence of diabetes of any population in the world, and the Pima Indians of the Gila River Indian Community have probably been the most studied group for the causes and consequences of diabetes. They develop what would be considered to be classic type 2 diabetes, characterized by obesity and insulin resistance with progression to d...

Diabetes merupakan salah satu penyakit mematikan dan kronis ditandai dengan peningkatan gula darah. Banyak komplikasi terjadi jika diabetes tidak diobati teridentifikasi. Proses identifikasi umumnya dilakukan kunjungan ke pusat diagnostik dokter konsultasi membuat pasien bosan. Pendekatan machine learning dapat memecahkan masalah diabetes. Namun, rentang nilai variabel penentu yang seimbang mem...

. Selvarajah S, Kaur G, Haniff J, et al. Comparison of the Framingham risk score, SCORE and WHO/ISH cardiovascular risk prediction models in an Asian population. Int J Cardiol. 2014;176:211–218. . Bansal M, Kasliwal RR, Trehan N. Comparative accuracy of different risk scores in assessing cardiovascular risk in Indians: a study in patients with first myocardial infarction. Indian Heart J. 2014;6...

OBJECTIVE The first study to predict peritrochanteric fractures by the use of T scores amongst the Indian population was performed. This study aimed to assess the risk of fracture around the hip in peri-menopausal and postmenopausal women, and in men over the age of 35 years using dual energy X-ray absorptiometry, and to analyse whether the result, i.e. the T score, can predict an impending hip...

Objective: Optimal prevention of young-onset type 2 diabetes requires identification of the earlylife modifiable risk factors. We aimed to do this using longitudinal data in 1,604 5-19yr old initially non-diabetic American Indians. Research Design and Methods: For type 2 diabetes prediction, we derived an optimallyweighted, continuously distributed, standardized multivariate score (zMS) compris...

OBJECTIVE Optimal prevention of young-onset type 2 diabetes requires identification of the early-life modifiable risk factors. We aimed to do this using longitudinal data in 1,604 5- to 19-year-old initially nondiabetic American Indians. RESEARCH DESIGN AND METHODS For type 2 diabetes prediction, we derived an optimally weighted, continuously distributed, standardized multivariate score (zMS)...