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Ahood Alazwari

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Articles

Modeling the number of new cases of childhood type 1 diabetes using Poisson regression and machine learning methods; a case study in Saudi Arabia

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By Ahood Alazwari, Laleh Tafakori, Alice Johnstone
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Alazwari A, Tafakori L, Johnstone A, Abdollahian M (2025) Modeling the number of new cases of childhood type 1 diabetes using Poisson regression and machine learning methods; a case study in Saudi Arabia. PLoS ONE 20(4): e0321480.
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Predicting the development of T1D and identifying its Key Performance Indicators in children; a case-control study in Saudi Arabia

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By Ahood Alazwari, Alice Johnstone, Laleh Tafakori, Mali Abdollahian
| paperity.org
PLOS ONE, Mar 2023 This is a preview of a remote PDF: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0282426&type=printable Ahood Alazwari, Alice Johnstone, Laleh Tafakori, Mali Abdollahian, Ahmed M. AlEidan, Khalid Alfuhigi, Mazen M. Alghofialy, Abdulhameed A. Albunyan, Hawra Al Abbad, Maryam H. AlEssa, Abdulaziz K. H. Alareefy, Mohammad A. Alshamrani. , PLOS ONE, 2023, Volume 18, Issue 3, DOI: 10.1371/journal.pone.0282426
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Predicting the development of T1D and identifying its Key Performance Indicators in children; a case-control study in Saudi Arabia

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By Alice Johnstone, Ahood Alazwari, Laleh Tafakori
| PLOS ONE
Characteristics of the study sample For this cohort, the range of birth year is from 2003 to 2020 and the median birth year was 2010. In addition, the demographic characteristics and potential risk factors for each of the case and control groups are shown in Tables 1 and 2. The results of the Chi-square (χ2) test to determine if there was a difference in the distribution of categorical variables between cases and controls are also shown in Tables 1 and 2. Table 1.
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