Co-design and evaluation of an intelligent decision support system for stroke rehabilitation assessment

• Main Authors: LEE, Min Hun, SIEWIOREK, Daniel P., SMAILAGIC, Asim, BERNARDINO, Alexandre, BADIA, Sergi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Human-AI Interaction; Explainable AI; Machine Learning; Decision Support Systems; Stroke Rehabilitation Assessment; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/6791; https://ink.library.smu.edu.sg/context/sis_research/article/7794/viewcontent/3415227.pdf
• Institution: Singapore Management University

Clinical decision support systems have the potential to improve work flows of experts in practice (e.g. therapist's evidence-based rehabilitation assessment). However, the adoption of these systems is challenging, and the gains of these systems have not fully demonstrated yet. In this paper, we...