Title :
Leveraging Social Supports for Improving Personal Expertise on ACL Reconstruction and Rehabilitation
Author :
Jinye Peng ; Naiquan Zheng ; Jianping Fan
Author_Institution :
Sch. of Inf. Sci. & Technol., Northwest Univ., Xian, China
Abstract :
In this paper, a social health support system is developed to assist both anterior cruciate ligament (ACL) patients and clinicians on making better decisions and choices for ACL reconstruction and rehabilitation. By providing a good platform to enable more effective sharing of personal expertise and ACL treatments, our social health support system can allow: 1) ACL patients to identify the best matching social groups and locate the most suitable expertise for personal health management; and 2) clinicians to easily locate the best matching ACL patients and learn from well-done treatments, so that they can make better decisions for new ACL patients (who have similar ACL injuries and close social principles with those best matching ACL patients) and prescribe safer and more effective knee rehabilitation treatments.
Keywords :
biological tissues; health care; injuries; patient rehabilitation; patient treatment; ACL patient treatment; ACL reconstruction; ACL rehabilitation; anterior cruciate ligament injury; knee rehabilitation treatment; personal health management; social health support system; Data models; Injuries; Joints; Kernel; Knee; Medical diagnostic imaging; Solid modeling; ACL reconstruction and rehabilitation; hierarchical patient clustering; patient-specific knee joint model; personalized expertise recommendation; social health support system; Algorithms; Anterior Cruciate Ligament; Cluster Analysis; Health Personnel; Humans; Information Dissemination; Information Seeking Behavior; Knee Injuries; Models, Biological; Reconstructive Surgical Procedures; Social Support;
Journal_Title :
Biomedical and Health Informatics, IEEE Journal of
DOI :
10.1109/TITB.2012.2226737
