Sonia Jahangiri

202320242 6

Nasibeh Azadeh-FardRochester Institute of TechnologyVerified email at rit.edu
Masoud AbdollahiHitachi America Ltd.; OHSUVerified email at ohsu.edu
Ehsan RashediRochester Institute of TechnologyVerified email at rit.edu
Pranav Madhav KuberRochester Institute of TechnologyVerified email at g.rit.edu
S.T.A. NiakiDistinguished Professor of Industrial Engineering, Sharif University of Technology, Tehran, IranVerified email at Sharif.edu
Behnam KazempourRochester Institute of TechnologyVerified email at g.rit.edu

Sonia Jahangiri

Verified email at g.rit.edu


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An inpatient fall risk assessment tool: Application of machine learning models on intrinsic and extrinsic risk factors S Jahangiri, M Abdollahi, R Patil, E Rashedi, N Azadeh-Fard Machine Learning with Applications 15, 100519, 2024	5	2024
Fall risk assessment in stroke survivors: a machine learning model using detailed motion data from common clinical tests and motor-cognitive dual-tasking M Abdollahi, E Rashedi, S Jahangiri, PM Kuber, N Azadeh-Fard, ... Sensors 24 (3), 812, 2024	2	2024
An Improved Naïve Bayes Approach to Diagnose Cardiovascular Disease: A Case Study S Jahangiri, STA Niaki	1	2023
Post-Stroke Functional Changes: In-Depth Analysis of Clinical Tests and Motor-Cognitive Dual-Tasking Using Wearable Sensors M Abdollahi, E Rashedi, PM Kuber, S Jahangiri, B Kazempour, ... Bioengineering 11 (4), 349, 2024		2024
A machine learning model to predict heart failure readmission: toward optimal feature set S Jahangiri, M Abdollahi, E Rashedi, N Azadeh-Fard Frontiers in Artificial Intelligence 7, 1363226, 2024		2024

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