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Mali Abdollahian

Showing results (1-10 of 17) with videos related to

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BMC Pregnancy and Childbirth|November 8, 2018
Foetal weight prediction models at a given gestational age in the absence of ultrasound facilities: application in IndonesiaDewi Anggraini, Mali Abdollahian, Kaye Marion
Plos One|October 13, 2020
The development of an alternative growth chart for estimated fetal weight in the absence of ultrasound: Application in IndonesiaDewi Anggraini, Mali Abdollahian, Kaye Marion
BMC Pregnancy and Childbirth|July 5, 2018
Optimal profile limits for maternal mortality rate (MMR) in South SudanGabriel Makuei, Mali Abdollahian, Kaye Marion
Journal of Pregnancy|June 23, 2020
Optimal Profile Limits for Maternal Mortality Rates (MMR) Influenced by Haemorrhage and Unsafe Abortion in South SudanGabriel Makuei, Mali Abdollahian, Kaye Marion
BMC Public Health|November 29, 2025
Predicting early and late neonatal mortality using machine learning models in OmanSulaiman Salim Al Mashrafi, Laleh Tafakori, Mali Abdollahian
BMC Pregnancy and Childbirth|December 18, 2024
Predicting maternal risk level using machine learning modelsSulaiman Salim Al Mashrafi, Laleh Tafakori, Mali Abdollahian
Plos One|April 25, 2025
Modeling the number of new cases of childhood type 1 diabetes using Poisson regression and machine learning methods; a case study in Saudi ArabiaAhood Alazwari, Laleh Tafakori, Alice Johnstone, et al.
Plos One|January 23, 2026
Developing count regression techniques for predicting the number of new type 2 diabetes cases in Saudi ArabiaFaten Al-Hussein, Laleh Tafakori, Mali Abdollahian, et al.
Plos One|June 17, 2025
A hybrid approach to enhance HbA1c prediction accuracy while minimizing the number of associated predictors: A case-control study in Saudi ArabiaFaten Al-Hussein, Mali Abdollahian, Laleh Tafakori, et al.
Plos One|February 11, 2025
Predicting Type 2 diabetes onset age using machine learning: A case study in KSAFaten Al-Hussein, Laleh Tafakori, Mali Abdollahian, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
BMC Pregnancy and Childbirth|November 8, 2018
Foetal weight prediction models at a given gestational age in the absence of ultrasound facilities: application in IndonesiaDewi Anggraini, Mali Abdollahian, Kaye Marion
Plos One|October 13, 2020
The development of an alternative growth chart for estimated fetal weight in the absence of ultrasound: Application in IndonesiaDewi Anggraini, Mali Abdollahian, Kaye Marion
BMC Pregnancy and Childbirth|July 5, 2018
Optimal profile limits for maternal mortality rate (MMR) in South SudanGabriel Makuei, Mali Abdollahian, Kaye Marion
Journal of Pregnancy|June 23, 2020
Optimal Profile Limits for Maternal Mortality Rates (MMR) Influenced by Haemorrhage and Unsafe Abortion in South SudanGabriel Makuei, Mali Abdollahian, Kaye Marion
BMC Public Health|November 29, 2025
Predicting early and late neonatal mortality using machine learning models in OmanSulaiman Salim Al Mashrafi, Laleh Tafakori, Mali Abdollahian
BMC Pregnancy and Childbirth|December 18, 2024
Predicting maternal risk level using machine learning modelsSulaiman Salim Al Mashrafi, Laleh Tafakori, Mali Abdollahian
Plos One|April 25, 2025
Modeling the number of new cases of childhood type 1 diabetes using Poisson regression and machine learning methods; a case study in Saudi ArabiaAhood Alazwari, Laleh Tafakori, Alice Johnstone, et al.
Plos One|January 23, 2026
Developing count regression techniques for predicting the number of new type 2 diabetes cases in Saudi ArabiaFaten Al-Hussein, Laleh Tafakori, Mali Abdollahian, et al.
Plos One|June 17, 2025
A hybrid approach to enhance HbA1c prediction accuracy while minimizing the number of associated predictors: A case-control study in Saudi ArabiaFaten Al-Hussein, Mali Abdollahian, Laleh Tafakori, et al.
Plos One|February 11, 2025
Predicting Type 2 diabetes onset age using machine learning: A case study in KSAFaten Al-Hussein, Laleh Tafakori, Mali Abdollahian, et al.
Pageof 2