Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ali Sharifi Kia"'
Autor:
Mozhdeh Zabihiyeganeh, Alireza Mirzaei, Pouria Tabrizian, Aryan Rezaee, Abbas Sheikhtaheri, Azade Amini Kadijani, Bahare Amini Kadijani, Ali Sharifi Kia
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background Machine learning (ML) has shown exceptional promise in various domains of medical research. However, its application in predicting subsequent fragility fractures is still largely unknown. In this study, we aim to evaluate the pred
Externí odkaz:
https://doaj.org/article/d30e0082820d4b11a418f4cbc1380446
Autor:
Saeed Barzegari, Ali Sharifi Kia, Marco Bardus, Stoyan R Stoyanov, Marjan GhaziSaeedi, Mouna Rafizadeh
Publikováno v:
JMIR Formative Research, Vol 6, Iss 12, p e42225 (2022)
BackgroundApproximately 110 million Farsi speakers worldwide have access to a growing mobile app market. Despite restrictions and international sanctions, Iran’s internal mobile health app market is growing, especially for Android-based apps. Howev
Externí odkaz:
https://doaj.org/article/9953f30c8a224c8b86575ce69989e811
Publikováno v:
Frontiers in Health Informatics, Vol 11, Iss 1 (2022)
Introduction: Health information systems play an important role in improving the quality of patient care and patient safety. to ensure their effectiveness and efficiency, they need to be evaluated. Although HIS evaluation has been investigated in man
Externí odkaz:
https://doaj.org/article/40e96e2a0a23446ea484fdd39a185e4b
Autor:
Saeed Barzegari, Ali Sharifi Kia, Marco Bardus, Stoyan R. Stoyanov, Marjan GhaziSaeedi, Mouna Rafizadeh
BACKGROUND There are 110 million Farsi speakers worldwide who have access to a growing mobile app market. Despite restrictions and international sanctions, the internal mHealth app market in Iran is growing, especially for Android-based apps. However
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36d8eaa67cb4628af7cf08a4cd83a35a
https://doi.org/10.2196/preprints.42225
https://doi.org/10.2196/preprints.42225
Autor:
Ali Sharifi Kia, Marco Bardus, Mouna Rafizadeh, Stoyan Stoyanov, Saeed Barzegari, Marjan Ghazisaeedi
Publikováno v:
JMIR Formative Research. 6:e42225
Background Approximately 110 million Farsi speakers worldwide have access to a growing mobile app market. Despite restrictions and international sanctions, Iran’s internal mobile health app market is growing, especially for Android-based apps. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5d2166716ea78fac66c14026a8639ef
https://doi.org/10.2196/42225
https://doi.org/10.2196/42225
Publikováno v:
Frontiers in Health Informatics. 11:120
Introduction: Health information systems play an important role in improving the quality of patient care and patient safety. to ensure their effectiveness and efficiency, they need to be evaluated. Although HIS evaluation has been investigated in man
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14d507730008f7ddfff327bcbdde74f2
https://doi.org/10.30699/fhi.v11i1.376
https://doi.org/10.30699/fhi.v11i1.376
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-15 (2023)
Abstract Background The large number of SARS-Cov-2 cases during the COVID-19 global pandemic has burdened healthcare systems and created a shortage of resources and services. In recent years, mortality prediction models have shown a potential in alle
Externí odkaz:
https://doaj.org/article/d8f6088d1ad74d4ca150d91037112c86