Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review
Introduction Musculoskeletal disorders are one of the most common causes of physical
disability. The rehabilitation process after musculoskeletal disorders is long and tedious, and …
disability. The rehabilitation process after musculoskeletal disorders is long and tedious, and …
[HTML][HTML] Design of an artificial neural network to predict mortality among COVID-19 patients
M Shanbehzadeh, R Nopour… - Informatics in medicine …, 2022 - Elsevier
Introduction The fast pandemic of coronavirus disease 2019 (COVID-19) has challenged
clinicians with many uncertainties and ambiguities regarding disease outcomes and …
clinicians with many uncertainties and ambiguities regarding disease outcomes and …
[HTML][HTML] Using decision tree algorithms for estimating ICU admission of COVID-19 patients
M Shanbehzadeh, R Nopour… - Informatics in medicine …, 2022 - Elsevier
Abstract Introduction Coronavirus disease 2019 (COVID-19) outbreak has overwhelmed
many healthcare systems worldwide and put them at the edge of collapsing. As intensive …
many healthcare systems worldwide and put them at the edge of collapsing. As intensive …
[HTML][HTML] The effect of influenza vaccine on severity of COVID-19 infection: An original study from Iran
S Kalantari, A Sadeghzadeh-Bazargan… - Medical Journal of the …, 2021 - ncbi.nlm.nih.gov
Background: The COVID-19 infection is a novel virus that mainly targets the respiratory
system via specific receptors without any coronavirus-targeted therapies. Many efforts have …
system via specific receptors without any coronavirus-targeted therapies. Many efforts have …
[HTML][HTML] Supervised machine learning approach to COVID-19 detection based on clinical data
A Yazdani, M Zahmatkeshan… - Medical Journal of the …, 2022 - ncbi.nlm.nih.gov
Background: The new coronavirus has been spreading since the beginning of 2020, and
many efforts have been made to develop vaccines to help patients recover. It is now clear …
many efforts have been made to develop vaccines to help patients recover. It is now clear …
The Application of Internet of Things in Healthcare Systems with a Focus on Advantages and Challenges: A Scoping Review
S Pahlevanynejad, SR Hosseini… - Journal of Education …, 2023 - jech.umsha.ac.ir
Background: The internet of things (IoT) has become a heterogeneous and exceedingly
disseminated structure that can react to the everyday needs of individuals and distinctive …
disseminated structure that can react to the everyday needs of individuals and distinctive …
Predicting intubation risk among COVID-19 hospitalized patients using artificial neural networks
R Nopour, M Shanbezadeh… - Journal of Education …, 2023 - journals.lww.com
BACKGROUND: Accurately predicting the intubation risk in COVID-19 patients at the
admission time is critical to optimal use of limited hospital resources, providing customized …
admission time is critical to optimal use of limited hospital resources, providing customized …
[PDF][PDF] Survival Analysis of Patients with COVID-19 using Deep Neural Network and Random Forrest Techniques
Results: Experimental results demonstrated that the deep neural network algorithm had
better performance than random forest with accuracy, precision, recall, F-score, and receiver …
better performance than random forest with accuracy, precision, recall, F-score, and receiver …
مرور نظاممند عملکرد برنامههای کاربردی همراه فارسی زبان در پاندمی کووید19.
لیال عرفاننیا, آزیتا یزدانی - Payavard Salamat, 2023 - search.ebscohost.com
اب شهوژپ نیا. تسا هتشاد یریگمشچ دشر، هارمه تملاس یدربراک یاه همانرب دادعت رامآ، انورک یمدناپ
عویش اب: فده و هنیمز. دش ماجنا 19 دیووک تیریدم رد نابز یسراف یدربراک یاه همانرب یاوتحم …
عویش اب: فده و هنیمز. دش ماجنا 19 دیووک تیریدم رد نابز یسراف یدربراک یاه همانرب یاوتحم …
[PDF][PDF] Informatics in Medicine Unlocked
M Shanbehzadeh, R Nopour, H Kazemi-Arpanahi - researchgate.net
Introduction: The fast pandemic of coronavirus disease 2019 (COVID-19) has challenged
clinicians with many uncertainties and ambiguities regarding disease outcomes and …
clinicians with many uncertainties and ambiguities regarding disease outcomes and …