Zobrazeno 1 - 10
of 361
pro vyhledávání: '"Reza Safdari"'
Publikováno v:
Journal of Biomedical Physics and Engineering, Vol 14, Iss 2, Pp 183-198 (2024)
Background: Registries are regarded as a just valuable fount of data on determining neonates suffering prematurity or low birth weight (LBW), ameliorating provided care, and developing studies.Objective: This study aimed to probe the studies, includi
Externí odkaz:
https://doaj.org/article/a616a8cd6ed644138eeacbeaae589100
Publikováno v:
پیاورد سلامت, Vol 17, Iss 6, Pp 571-582 (2024)
Background and Aim: Kidney failure is a common and increasing problem in Iran and worldwide. Kidney transplantation is recognized as a preferred treatment method for patients with end-stage renal disease (ESRD). Machine learning, as one of the most v
Externí odkaz:
https://doaj.org/article/b6e3287f37cc4a77b3a1d489ea42e289
Publikováno v:
پیاورد سلامت, Vol 17, Iss 5, Pp 464-483 (2023)
Background and Aim: Atherosclerosis of coronary arteries is the most common heart disease and indication of coronary artery bypass graft(CABG). After CABG, patients need proper self-care and lifestyle changes to increase their quality of life. The pr
Externí odkaz:
https://doaj.org/article/7f1501497ac9499d8ec90d4368536731
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract The most frequent reason for individuals experiencing abdominal discomfort to be referred to emergency departments of hospitals is acute appendicitis, and the most frequent emergency surgery performed is an appendectomy. The purpose of this
Externí odkaz:
https://doaj.org/article/939043528062404b987d726c73465c9d
Publikováno v:
پیاورد سلامت, Vol 17, Iss 4, Pp 300-313 (2023)
Background and Aim: Nutrition recommender systems are one of the most prominent technologies in the field of nutrition informatics that help users to have a healthy diet. These systems are able to suggest the most appropriate foods and meal plans con
Externí odkaz:
https://doaj.org/article/61a9c8762ba3456aa7f38b87652fcb59
Autor:
Elahe Gozali, Reza Safdari, Bahlol Rahimi, Marjan Ghazisaeedi, Hamidreza Farrokh-Eslamlou, Malihe Sadeghi
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background Developmental disorders are a prevalent problem in the health sector of low- and middle-income countries (LMICs), and children in these countries are at greater risk. A registry system is helpful and vital to monitoring and managi
Externí odkaz:
https://doaj.org/article/47885a4ebb914baf915d2d936f840ff4
Publikováno v:
پیاورد سلامت, Vol 17, Iss 2, Pp 185-199 (2023)
Background and Aim: Simulation-based Mobile Education is one of the necessities of the new era as well as an escalating field to meet the needs of different educational systems and levels. Considering the increasing application of simulation-based te
Externí odkaz:
https://doaj.org/article/c546822f5cdc40519a722e19bced8b5d
Publikováno v:
Journal of Biomedical Physics and Engineering, Vol 13, Iss 2, Pp 147-156 (2023)
Background: Sleep apnea is one of the most common sleep disorders that facilitating and accelerating its diagnosis will have positive results on its future trend. Objective: This study aimed to diagnosis the sleep apnea types using the optimized neur
Externí odkaz:
https://doaj.org/article/eb9ea8a9310b4a13bb71889f594898a0
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-19 (2022)
Abstract Background Machine learning has been used to develop predictive models to support clinicians in making better and more reliable decisions. The high volume of collected data in the lung transplant process makes it possible to extract hidden p
Externí odkaz:
https://doaj.org/article/e105e6d3718b4d03a98a2a36bcd0e723
Publikováno v:
Intelligent Medicine, Vol 2, Iss 4, Pp 193-198 (2022)
Background: Hepatitis C virus (HCV) has a high prevalence worldwide, and the progression of the disease can cause irreversible damage to severe liver damage or even death. Therefore, developing prediction models using machine learning techniques is b
Externí odkaz:
https://doaj.org/article/0fab05b218364cd99b440d31856179eb