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Artificial Intelligence in Medicine|June 15, 2021
A predictive framework in healthcare: Case study on cardiac arrest predictionSamaneh Layeghian Javan, Mohammad Mehdi SepehriJournal of Biomedical Informatics|November 4, 2018
Toward analyzing and synthesizing previous research in early prediction of cardiac arrest using machine learning based on a multi-layered integrative frameworkSamaneh Layeghian Javan, Mohammad Mehdi Sepehri, Hassan AghajaniComputer Methods and Programs in Biomedicine|August 17, 2019
An intelligent warning model for early prediction of cardiac arrest in sepsis patientsSamaneh Layeghian Javan, Mohammad Mehdi Sepehri, Malihe Layeghian Javan, et al.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 SepehriBMC 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 SepehriBMC 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 KhashaArchives 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 SepehriEuropean 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 HabibelahiJournal of Medical Signals and Sensors|April 4, 2014
A Novel Unsupervised Approach for Minimally-invasive Video SegmentationToktam Khatibi, Mohammad Mehdi Sepehri, Pejman ShadpourMedical 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 PourfathollahPageof 4