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Reza Arabi Belaghi

Showing results (1-10 of 11) with videos related to

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Scientific Reports|September 20, 2024
Prediction of preterm birth in multiparous women using logistic regression and machine learning approachesReza Arabi Belaghi
Journal of Perinatology : Official Journal of the California Perinatal Association|June 11, 2021
Clinical risk models for preterm birth less than 28 weeks and less than 32 weeks of gestation using a large retrospective cohortReza Arabi Belaghi, Joseph Beyene, Sarah D McDonald
Plos One|June 30, 2021
Prediction of preterm birth in nulliparous women using logistic regression and machine learningReza Arabi Belaghi, Joseph Beyene, Sarah D McDonald
Statistics in Medicine|July 19, 2019
Stein-type shrinkage estimators in gamma regression model with application to prostate cancer dataSaumen Mandal, Reza Arabi Belaghi, Akram Mahmoudi, et al.
Entropy (Basel, Switzerland)|March 28, 2025
Efficient Post-Shrinkage Estimation Strategies in High-Dimensional Cox's Proportional Hazards ModelsSyed Ejaz Ahmed, Reza Arabi Belaghi, Abdulkhadir Ahmed Hussein
Frontiers in Genetics|December 13, 2021
Exploration of Potential miRNA Biomarkers and Prediction for Ovarian Cancer Using Artificial IntelligenceFarzaneh Hamidi, Neda Gilani, Reza Arabi Belaghi, et al.
Frontiers in Genetics|January 27, 2022
Identifying Potential miRNA Biomarkers for Gastric Cancer Diagnosis Using Machine Learning Variable Selection ApproachNeda Gilani, Reza Arabi Belaghi, Younes Aftabi, et al.
Frontiers in Digital Health|August 25, 2023
Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of BorutaFarzaneh Hamidi, Neda Gilani, Reza Arabi Belaghi, et al.
BMC Veterinary Research|May 2, 2024
Digital dermatitis in Swedish dairy herds assessed by ELISA targeting Treponema phagedenis in bulk tank milkLex Roelofs, Jenny Frössling, Anna Rosander, et al.
European Radiology|September 21, 2021
Stakeholders' perspectives on the future of artificial intelligence in radiology: a scoping reviewLing Yang, Ioana Cezara Ene, Reza Arabi Belaghi, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Scientific Reports|September 20, 2024
Prediction of preterm birth in multiparous women using logistic regression and machine learning approachesReza Arabi Belaghi
Journal of Perinatology : Official Journal of the California Perinatal Association|June 11, 2021
Clinical risk models for preterm birth less than 28 weeks and less than 32 weeks of gestation using a large retrospective cohortReza Arabi Belaghi, Joseph Beyene, Sarah D McDonald
Plos One|June 30, 2021
Prediction of preterm birth in nulliparous women using logistic regression and machine learningReza Arabi Belaghi, Joseph Beyene, Sarah D McDonald
Statistics in Medicine|July 19, 2019
Stein-type shrinkage estimators in gamma regression model with application to prostate cancer dataSaumen Mandal, Reza Arabi Belaghi, Akram Mahmoudi, et al.
Entropy (Basel, Switzerland)|March 28, 2025
Efficient Post-Shrinkage Estimation Strategies in High-Dimensional Cox's Proportional Hazards ModelsSyed Ejaz Ahmed, Reza Arabi Belaghi, Abdulkhadir Ahmed Hussein
Frontiers in Genetics|December 13, 2021
Exploration of Potential miRNA Biomarkers and Prediction for Ovarian Cancer Using Artificial IntelligenceFarzaneh Hamidi, Neda Gilani, Reza Arabi Belaghi, et al.
Frontiers in Genetics|January 27, 2022
Identifying Potential miRNA Biomarkers for Gastric Cancer Diagnosis Using Machine Learning Variable Selection ApproachNeda Gilani, Reza Arabi Belaghi, Younes Aftabi, et al.
Frontiers in Digital Health|August 25, 2023
Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of BorutaFarzaneh Hamidi, Neda Gilani, Reza Arabi Belaghi, et al.
BMC Veterinary Research|May 2, 2024
Digital dermatitis in Swedish dairy herds assessed by ELISA targeting Treponema phagedenis in bulk tank milkLex Roelofs, Jenny Frössling, Anna Rosander, et al.
European Radiology|September 21, 2021
Stakeholders' perspectives on the future of artificial intelligence in radiology: a scoping reviewLing Yang, Ioana Cezara Ene, Reza Arabi Belaghi, et al.
Pageof 2