Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sonia Jahangiri"'
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
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
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
The primary purpose of the data mining techniques is to extract proper knowledge and information from an existing dataset. One of the data mining techniques is classification and one of the most popular classification techniques is Naïve Bayes. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0f525fc1093af7aa0fd8b41da83d39a
https://doi.org/10.21203/rs.3.rs-1231978/v1
https://doi.org/10.21203/rs.3.rs-1231978/v1