Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Farnia Velayati"'
Publikováno v:
Healthcare Informatics Research, Vol 30, Iss 3, Pp 206-223 (2024)
Objectives The rapid spread of coronavirus disease 2019 (COVID-19) posed significant challenges to healthcare systems, prompting the widespread adoption of telehealth to provide medical services while minimizing the risk of virus transmission. This s
Externí odkaz:
https://doaj.org/article/1ad5acc76da7458a9cbf35ef097dda10
Publikováno v:
Journal of Clinical & Translational Endocrinology, Vol 37, Iss , Pp 100361- (2024)
Background: Telemedicine has aided patients with diabetes during the COVID-19 pandemic in receiving better healthcare services. However, despite its numerous benefits, the use of this technology has faced several challenges. This study aimed to ident
Externí odkaz:
https://doaj.org/article/2c2d5b33dd86404681775a4e088efefb
Publikováno v:
Healthcare Informatics Research, Vol 30, Iss 1, Pp 73-82 (2024)
Objectives This study aimed to develop a model to predict fasting blood glucose status using machine learning and data mining, since the early diagnosis and treatment of diabetes can improve outcomes and quality of life. Methods This cross-sectional
Externí odkaz:
https://doaj.org/article/8f7872802f27469aa33337f0bda48dd1
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-15 (2022)
Abstract Background Telehealth services can utilize various information technologies and improve quality and efficiency of healthcare delivery by facilitating education, treatment, follow-up, and decision-making. However, these services are not alway
Externí odkaz:
https://doaj.org/article/70085e592abe42ceaa7ad0060aa5f965
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Background Telehealth technology and related products can help to solve the problems associated with providing health care services and equal distribution of resources. However, in order to run a telehealth business successfully, key compone
Externí odkaz:
https://doaj.org/article/4f637d059aab4d6e877db4153f289cab
Autor:
Sharare Taheri Moghadam, Farahnaz Sadoughi, Farnia Velayati, Seyed Jafar Ehsanzadeh, Shayan Poursharif
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-26 (2021)
Abstract Background Clinical Decision Support Systems (CDSSs) for Prescribing are one of the innovations designed to improve physician practice performance and patient outcomes by reducing prescription errors. This study was therefore conducted to ex
Externí odkaz:
https://doaj.org/article/582346bc385f4abd9e4e43f77569121b
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 3, p e33128 (2022)
BackgroundTelehealth technology is an excellent solution to resolve the problems of health care delivery. However, this technology may fail during large-scale implementation. As a result, business models can be used to facilitate commercialization of
Externí odkaz:
https://doaj.org/article/d90c30038ba7461b8755657713d56c8b
BACKGROUND Introduction: Currently, diabetes is known as one of the major health problems and the most important issue in the medical profession which has a high prevalence in children and adults. On the other hand, machine learning has been introduc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40dd5156b2e1e5cc58bba78977e6c2db
https://doi.org/10.2196/preprints.48290
https://doi.org/10.2196/preprints.48290
Publikováno v:
Journal of medical Internet research. 24(3)
BackgroundTelehealth technology is an excellent solution to resolve the problems of health care delivery. However, this technology may fail during large-scale implementation. As a result, business models can be used to facilitate commercialization of
BACKGROUND Telehealth technology is an excellent solution to resolve the problems of health care delivery. However, this technology may fail during large-scale implementation. As a result, business models can be used to facilitate commercialization o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2451903561eb196b4a3a560fb304bf57
https://doi.org/10.2196/preprints.33128
https://doi.org/10.2196/preprints.33128