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Mohammad Mehdi Sepehri

Showing results (1-10 of 32) with videos related to

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American Journal of Infection Control|September 13, 2025
Predicting mortality across hospital departments: A machine learning approach for various health care-associated infectionsIman Heidari, Mohammad Mehdi Sepehri
BMC Medical Informatics and Decision Making|August 14, 2020
Designing a novel hybrid healthcare teleconsultation network: a benchtop study of telepathology in Iran and a systematic reviewMohammad Mahdi Taghipour, Mohammad Mehdi Sepehri
Artificial Intelligence in Medicine|June 15, 2021
A predictive framework in healthcare: Case study on cardiac arrest predictionSamaneh Layeghian Javan, Mohammad Mehdi Sepehri
BMC Medical Informatics and Decision Making|November 21, 2021
A novel approach to educate hospitalized cardiovascular disease patients about lifestyle and behavior modificationsAtiyeh Saboktakin, Mohammad Mehdi Sepehri, Roghaye Khasha
Archives of Gynecology and Obstetrics|October 26, 2019
Analysis of big data for prediction of provider-initiated preterm birth and spontaneous premature deliveries and ranking the predictive featuresToktam Khatibi, Naghme Kheyrikoochaksarayee, Mohammad Mehdi Sepehri
European Journal of Pediatrics|October 14, 2025
Quantifying neonatal transport deficiencies: an integrated framework for weighting core KPIs and ranking challenges in resource-limited settingsMahsa Qeytasi, Mohammad Mehdi Sepehri, Abbas Habibelahi
Journal of Medical Signals and Sensors|April 4, 2014
A Novel Unsupervised Approach for Minimally-invasive Video SegmentationToktam Khatibi, Mohammad Mehdi Sepehri, Pejman Shadpour
Medical Journal of the Islamic Republic of Iran|December 11, 2020
Evaluation of effective factors in the acceptance of mobile health technology using the unified theory of acceptance and use of technology (UTAUT), case study: Blood transfusion complications in thalassemia patientsShirindokht Farhady, Mohammad Mehdi Sepehri, Ali Akbar Pourfathollah
Frontiers in Artificial Intelligence|June 17, 2024
An artificial intelligence algorithm to select most viable embryos considering current process in IVF labsMahdi-Reza Borna, Mohammad Mehdi Sepehri, Behnam Maleki
Computational and Mathematical Methods in Medicine|July 18, 2013
Implementation of predictive data mining techniques for identifying risk factors of early AVF failure in hemodialysis patientsMohammad Rezapour, Morteza Khavanin Zadeh, Mohammad Mehdi Sepehri
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
American Journal of Infection Control|September 13, 2025
Predicting mortality across hospital departments: A machine learning approach for various health care-associated infectionsIman Heidari, Mohammad Mehdi Sepehri
BMC Medical Informatics and Decision Making|August 14, 2020
Designing a novel hybrid healthcare teleconsultation network: a benchtop study of telepathology in Iran and a systematic reviewMohammad Mahdi Taghipour, Mohammad Mehdi Sepehri
Artificial Intelligence in Medicine|June 15, 2021
A predictive framework in healthcare: Case study on cardiac arrest predictionSamaneh Layeghian Javan, Mohammad Mehdi Sepehri
BMC Medical Informatics and Decision Making|November 21, 2021
A novel approach to educate hospitalized cardiovascular disease patients about lifestyle and behavior modificationsAtiyeh Saboktakin, Mohammad Mehdi Sepehri, Roghaye Khasha
Archives of Gynecology and Obstetrics|October 26, 2019
Analysis of big data for prediction of provider-initiated preterm birth and spontaneous premature deliveries and ranking the predictive featuresToktam Khatibi, Naghme Kheyrikoochaksarayee, Mohammad Mehdi Sepehri
European Journal of Pediatrics|October 14, 2025
Quantifying neonatal transport deficiencies: an integrated framework for weighting core KPIs and ranking challenges in resource-limited settingsMahsa Qeytasi, Mohammad Mehdi Sepehri, Abbas Habibelahi
Journal of Medical Signals and Sensors|April 4, 2014
A Novel Unsupervised Approach for Minimally-invasive Video SegmentationToktam Khatibi, Mohammad Mehdi Sepehri, Pejman Shadpour
Medical Journal of the Islamic Republic of Iran|December 11, 2020
Evaluation of effective factors in the acceptance of mobile health technology using the unified theory of acceptance and use of technology (UTAUT), case study: Blood transfusion complications in thalassemia patientsShirindokht Farhady, Mohammad Mehdi Sepehri, Ali Akbar Pourfathollah
Frontiers in Artificial Intelligence|June 17, 2024
An artificial intelligence algorithm to select most viable embryos considering current process in IVF labsMahdi-Reza Borna, Mohammad Mehdi Sepehri, Behnam Maleki
Computational and Mathematical Methods in Medicine|July 18, 2013
Implementation of predictive data mining techniques for identifying risk factors of early AVF failure in hemodialysis patientsMohammad Rezapour, Morteza Khavanin Zadeh, Mohammad Mehdi Sepehri
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