Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Mohammad Reza Afrash"'
Autor:
Khadijeh Moulaei, Somayeh salehi, Masoud Shahabian, Babak sabet, Farshid Rezaei, Adrina Habibzadeh, Mohammad Reza Afrash
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Background Effective self-care practices are crucial for maintaining health and well-being, as inadequate self-care can lead to increased health risks and decreased overall quality of life. To address these issues, one promising approach inv
Externí odkaz:
https://doaj.org/article/1b9326497eca4d31854ea9d2fd7ca8f5
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-31 (2024)
Abstract Background Geriatric assessment (GA) is a multidimensional process that disrupts the primary health care (PHC) referral system. Accessing consistent data is central to the provision of integrated geriatric care across multiple healthcare set
Externí odkaz:
https://doaj.org/article/cc312956428b4b5db2dfcbc23ad4094a
Autor:
Malihe Ram, Mohammad Reza Afrash, Khadijeh Moulaei, Mohammad Parvin, Erfan Esmaeeli, Zahra Karbasi, Soroush Heydari, Azam Sabahi
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Navigating the complexity of chronic myeloid leukemia (CML) diagnosis and management poses significant challenges, including the need for accurate prediction of disease progression and response to treatment. Artificial intelligenc
Externí odkaz:
https://doaj.org/article/8df778a435d14e439943a476912f5a01
Autor:
Khadijeh Moulaei, Mohammad Reza Afrash, Mohammad Parvin, Shahin Shadnia, Mitra Rahimi, Babak Mostafazadeh, Peyman Erfan Talab Evini, Babak Sabet, Seyed Mohammad Vahabi, Amirali Soheili, Mobin Fathy, Arya Kazemi, Sina Khani, Seyed Mohammad Mortazavi, Sayed Masoud Hosseini
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The need for intubation in methanol-poisoned patients, if not predicted in time, can lead to irreparable complications and even death. Artificial intelligence (AI) techniques like machine learning (ML) and deep learning (DL) greatly aid in a
Externí odkaz:
https://doaj.org/article/017a34d5e9964b9695b184880da0c303
Autor:
Mitra Rahimi, Mohammad Reza Afrash, Shahin Shadnia, Babak Mostafazadeh, Peyman Erfan Talab Evini, Mohadeseh Sarbaz Bardsiri, Maral Ramezani
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Hemodialysis is a life-saving treatment used to eliminate toxins and metabolites from the body during poisoning. Despite its effectiveness, there needs to be more research on this method precisely, with most studies focusing on sp
Externí odkaz:
https://doaj.org/article/56cea8fb5bba4dd593fa08cf38322fc1
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-16 (2023)
Abstract Background Gastric cancer is the most common malignant tumor worldwide and a leading cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes. Survivability prediction may help select the best treatment plan base
Externí odkaz:
https://doaj.org/article/5dca2d4cc07c40e88b0a1112cad47276
Publikováno v:
BMC Gastroenterology, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background Gastric cancer is one of the leading causes of death worldwide. Screening for gastric cancer greatly relies on endoscopy and pathology biopsy, which are invasive and pose financial burdens. Thus, the prevention of the disease by m
Externí odkaz:
https://doaj.org/article/5d1118af6c6e45879d23efe634243e08
Publikováno v:
Journal of Biomedical Physics and Engineering, Vol 12, Iss 6, Pp 611-626 (2022)
Background: Since hospitalized patients with COVID-19 are considered at high risk of death, the patients with the sever clinical condition should be identified. Despite the potential of machine learning (ML) techniques to predict the mortality of COV
Externí odkaz:
https://doaj.org/article/42b3af501bef42ed873dbc4e37be0b43
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-13 (2022)
Abstract Introduction Chronic myeloid leukemia (CML) is a myeloproliferative disorder resulting from the translocation of chromosomes 19 and 22. CML includes 15–20% of all cases of leukemia. Although bone marrow transplant and, more recently, tyros
Externí odkaz:
https://doaj.org/article/967064ce4de64139bd28ee04b546a4ca
Autor:
Mohammad Reza Afrash, Hadi Kazemi-Arpanahi, Raoof Nopour, Elmira Sadat Tabatabaei, Mostafa Shanbehzadeh
Publikováno v:
Journal of Environmental Health and Sustainable Development, Vol 7, Iss 3, Pp 1698-1707 (2022)
Introduction: Predicting acute respiratory insufficiency due to coronavirus disease 2019 (COVID-19) can diminish the severe complications and mortality associated with the disease. This study aimed to develop an intelligent system based on machine le
Externí odkaz:
https://doaj.org/article/6e6e582d7fbb49c2aa444dfdedc51614