Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Fahimeh Ghasemian"'
Autor:
Houriyeh Ehtemam, Shabnam Sadeghi Esfahlani, Alireza Sanaei, Mohammad Mehdi Ghaemi, Sadrieh Hajesmaeel-Gohari, Rohaneh Rahimisadegh, Kambiz Bahaadinbeigy, Fahimeh Ghasemian, Hassan Shirvani
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-29 (2024)
Abstract Objective Suicide is a complex and multifactorial public health problem. Understanding and addressing the various factors associated with suicide is crucial for prevention and intervention efforts. Machine learning (ML) could enhance the pre
Externí odkaz:
https://doaj.org/article/21ebd884460e46d68aaedcf51c103ccf
Publikováno v:
Digital Health, Vol 10 (2024)
Purpose Deep convolutional neural networks are favored methods that are widely used in medical image processing due to their demonstrated performance in this area. Recently, the emergence of new lung diseases, such as COVID-19, and the possibility of
Externí odkaz:
https://doaj.org/article/f9882cffa7094507a770706926b9f910
Autor:
Parastoo Amiri, Mahdieh Montazeri, Fahimeh Ghasemian, Fatemeh Asadi, Saeed Niksaz, Farhad Sarafzadeh, Reza Khajouei
Publikováno v:
Digital Health, Vol 9 (2023)
Background The severity of coronavirus (COVID-19) in patients with chronic comorbidities is much higher than in other patients, which can lead to their death. Machine learning (ML) algorithms as a potential solution for rapid and early clinical evalu
Externí odkaz:
https://doaj.org/article/9417c2b6a11541dc8a8656b98b961ada
Publikováno v:
Informatics in Medicine Unlocked, Vol 39, Iss , Pp 101246- (2023)
An adverse drug reaction (ADR) is a harmful and unwanted disorder that occurs as a result of taking a drug at doses commonly used in humans for the prevention, diagnosis, treatment of disease, or to change physiological function. Reports have shown t
Externí odkaz:
https://doaj.org/article/68212c5c45ca49a58b2132adaa322033
Autor:
khadijeh Moulaei, Fahimeh Ghasemian, Kambiz Bahaadinbeigy, Roghayeh Ershad sarbi, Zahra Mohamadi Taghiabad
Publikováno v:
Journal of Biomedical Physics and Engineering, Vol 11, Iss 5, Pp 653-662 (2021)
If Coronavirus (COVID-19) is not predicted, managed, and controlled timely, the health systems of any country and their people will face serious problems. Predictive models can be helpful in health resource management and prevent outbreak and death c
Externí odkaz:
https://doaj.org/article/8bef98d934f74d0f99894d1ba85d821b
Publikováno v:
2023 28th International Computer Conference, Computer Society of Iran (CSICC).
Publikováno v:
Mathematics and Computers in Simulation. 178:1-15
In the recent decade, the application of metaheuristic algorithms for optimization and solving different problems is increased and various nature-inspired algorithms are designed to improve the quality and convergence speed of getting the answer. In
Autor:
Saeed Niksaz, Fahimeh Ghasemian
Publikováno v:
SSRN Electronic Journal.
Automatic medical report generation is the production of reports from radiology images that are grammatically correct and coherent. Encoder-decoder is the most common architecture for report generation, which has not achieved to a satisfactory perfor
Autor:
Reza, Esmaeili, Sajad, Zare, Fahimeh, Ghasemian, Farideh, Pourtaghi, Hamid, Saeidnia, Gholamhossein, Pourtaghi
Publikováno v:
Med Lav
BACKGROUND: Noise-induced hearing loss (NIHL) is one of the main risk factors affecting people's health and wellbe-ing in the workplace. Analysing NIHL and consequently controlling the causing factors can significantly affect the improvement of worki
Autor:
Zahra Mohamadi Taghiabad, Khadijeh Moulaei, Roghayeh Ershad Sarbi, Fahimeh Ghasemian, Kambiz Bahaadinbeigy
Publikováno v:
Journal of Biomedical Physics & Engineering
Journal of Biomedical Physics and Engineering, Vol 11, Iss 5, Pp 653-662 (2021)
Journal of Biomedical Physics and Engineering, Vol 11, Iss 5, Pp 653-662 (2021)
If Coronavirus (COVID-19) is not predicted, managed, and controlled timely, the health systems of any country and their people will face serious problems. Predictive models can be helpful in health resource management and prevent outbreak and death c