Behnaz Alafchi - JoVE Visualize

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JMIR Public Health and Surveillance|September 2, 2021

Using Machine Learning Techniques to Predict Factors Contributing to the Incidence of Metabolic Syndrome in Tehran: Cohort StudyFiroozeh Hosseini-Esfahani, Behnaz Alafchi, Zahra Cheraghi, et al.

Journal of Research in Health Sciences|August 12, 2023

Effects of Hypertension Alone and in Comorbidity with Diabetes on Death within 30 Days among Inpatients with COVID-19 InfectionErfan Ayubi, Fatemeh Torkaman Asadi, Shiva Borzouei, et al.

Asian Journal of Psychiatry|July 30, 2024

Anticipating influential factors on suicide outcomes through machine learning techniques: Insights from a suicide registration program in western IranNasrin Matinnia, Behnaz Alafchi, Arya Haddadi, et al.

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Showing results (21-30 of 23) with videos related to

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You have reached the last page of results.This site can display upto 23 results.

JMIR Public Health and Surveillance|September 2, 2021

Using Machine Learning Techniques to Predict Factors Contributing to the Incidence of Metabolic Syndrome in Tehran: Cohort StudyFiroozeh Hosseini-Esfahani, Behnaz Alafchi, Zahra Cheraghi, et al.

Journal of Research in Health Sciences|August 12, 2023

Effects of Hypertension Alone and in Comorbidity with Diabetes on Death within 30 Days among Inpatients with COVID-19 InfectionErfan Ayubi, Fatemeh Torkaman Asadi, Shiva Borzouei, et al.

Asian Journal of Psychiatry|July 30, 2024

Anticipating influential factors on suicide outcomes through machine learning techniques: Insights from a suicide registration program in western IranNasrin Matinnia, Behnaz Alafchi, Arya Haddadi, et al.

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