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Laleh Tafakori

Showing results (1-10 of 12) with videos related to

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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
Journal of Mathematical Biology|June 25, 2022
A Model for Cell Proliferation in a Developing OrganismPhilip K Pollett, Laleh Tafakori, Peter G Taylor
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.
Neural Networks : the Official Journal of the International Neural Network Society|November 12, 2025
Enhancing node influence prediction in large networks via multi-Level knowledge distillationSeyed Amir Sheikh Ahmadi, Parham Moradi, Laleh Tafakori, 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.
Plos One|September 26, 2024
Predicting age at onset of childhood obesity using regression, Random Forest, Decision Tree, and K-Nearest Neighbour-A case study in Saudi ArabiaSalem Hamoud Alanazi, Mali Abdollahian, Laleh Tafakori, et al.
Plos One|February 28, 2022
Predicting age at onset of type 1 diabetes in children using regression, artificial neural network and Random Forest: A case study in Saudi ArabiaAhood Alazwari, Mali Abdollahian, Laleh Tafakori, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
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
Journal of Mathematical Biology|June 25, 2022
A Model for Cell Proliferation in a Developing OrganismPhilip K Pollett, Laleh Tafakori, Peter G Taylor
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.
Neural Networks : the Official Journal of the International Neural Network Society|November 12, 2025
Enhancing node influence prediction in large networks via multi-Level knowledge distillationSeyed Amir Sheikh Ahmadi, Parham Moradi, Laleh Tafakori, 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.
Plos One|September 26, 2024
Predicting age at onset of childhood obesity using regression, Random Forest, Decision Tree, and K-Nearest Neighbour-A case study in Saudi ArabiaSalem Hamoud Alanazi, Mali Abdollahian, Laleh Tafakori, et al.
Plos One|February 28, 2022
Predicting age at onset of type 1 diabetes in children using regression, artificial neural network and Random Forest: A case study in Saudi ArabiaAhood Alazwari, Mali Abdollahian, Laleh Tafakori, et al.
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