Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Masoud abdollahi"'
Publikováno v:
Machine Learning with Applications, Vol 15, Iss , Pp 100519- (2024)
Background: This study aimed to identify the most impactful set of intrinsic and extrinsic fall risk factors and develop a data-driven inpatient fall risk assessment tool (FRAT). Methods: The dataset used for the study comprised in-hospital fall reco
Externí odkaz:
https://doaj.org/article/96edfc89321d4a5f88e0ff8e5ac5d54b
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
BackgroundHospital readmissions for heart failure patients remain high despite efforts to reduce them. Predictive modeling using big data provides opportunities to identify high-risk patients and inform care management. However, large datasets can co
Externí odkaz:
https://doaj.org/article/4a31e4889a42420b81b4b1f89b9909cc
Publikováno v:
Sensors, Vol 24, Iss 10, p 2996 (2024)
Stroke can impair mobility, with deficits more pronounced while simultaneously performing multiple activities. In this study, common clinical tests were instrumented with wearable motion sensors to study motor–cognitive interference effects in stro
Externí odkaz:
https://doaj.org/article/e3f7b486578b4cbb97b692bf4056e0b8
Autor:
Masoud Abdollahi, Monir Ramezani, Zahra Bafti, Sajad Harimi, Mohammadreza Askari, Mohammad Abdollahi, Abbas Heydari
Publikováno v:
حیات, Vol 29, Iss 1, Pp 22-33 (2023)
Background & Aim: Today, ageing is a challenge for health and care systems, and one of its main consequences is an increase in the readmission rates. Therefore, in all countries, efforts are being made to reduce the readmission rate. The Readiness fo
Externí odkaz:
https://doaj.org/article/257aff2a3f0a458caf508fcde2e71a1f
Autor:
Masoud Abdollahi, Ehsan Rashedi, Pranav Madhav Kuber, Sonia Jahangiri, Behnam Kazempour, Mary Dombovy, Nasibeh Azadeh-Fard
Publikováno v:
Bioengineering, Vol 11, Iss 4, p 349 (2024)
Clinical tests like Timed Up and Go (TUG) facilitate the assessment of post-stroke mobility, but they lack detailed measures. In this study, 21 stroke survivors and 20 control participants underwent TUG, sit-to-stand (STS), and the 10 Meter Walk Test
Externí odkaz:
https://doaj.org/article/ed17b01c780a4835a8507032a33a79f0
Publikováno v:
Journal of Advances in Medical Education and Professionalism, Vol 11, Iss 1, Pp 3-14 (2023)
Introduction: Human resources development, especially faculty members who play a substantial role in education, isof great importance and can lead to enhanced competence and participation of employees in university affairs. Mentoring is one of the pr
Externí odkaz:
https://doaj.org/article/dabf1b4ffb0541f69fde6b58bd59cea9
Autor:
Masoud Abdollahi, Ehsan Rashedi, Sonia Jahangiri, Pranav Madhav Kuber, Nasibeh Azadeh-Fard, Mary Dombovy
Publikováno v:
Sensors, Vol 24, Iss 3, p 812 (2024)
Background: Falls are common and dangerous for stroke survivors. Current fall risk assessment methods rely on subjective scales. Objective sensor-based methods could improve prediction accuracy. Objective: Develop machine learning models using inerti
Externí odkaz:
https://doaj.org/article/18bfe57ad1714f5396b8f51460f133db
Autor:
Masoud Abdollahi, Natalie Whitton, Ramin Zand, Mary Dombovy, Mohamad Parnianpour, Kinda Khalaf, Ehsan Rashedi
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Background/Purpose: To prevent falling, a common incident with debilitating health consequences among stroke survivors, it is important to identify significant fall risk factors (FRFs) towards developing and implementing predictive and preventive str
Externí odkaz:
https://doaj.org/article/7bcbe08f03ff444682002357eb895a43
Publikováno v:
SoftwareX, Vol 18, Iss , Pp 101044- (2022)
CMIP6-D&A is an R-based open source software with a user-friendly graphical user interface that is being developed to download and process climate data such as daily precipitation, minimum and maximum near surface air temperature stored/available in
Externí odkaz:
https://doaj.org/article/862ae3f1dbdb4e269ba4bf3ad7eaf939
Autor:
Alli Ghafari, Masoud Abdollahi Nia
Publikováno v:
آموزش مهندسی ایران, Vol 22, Iss 86, Pp 1-20 (2020)
In this paper, it is shown that in many cases, science can predict the future. Based on the available information of the real system, the scientific method for future prediction is to develop a virtual model with similar response to the real system.
Externí odkaz:
https://doaj.org/article/4e6959616b0a4cb181681dbcaae16992