A method for managing evidential reasoning in a hierarchical hypothesis space
Artificial Intelligence
OASES: an expert system for operations analysis—the system for cause analysis
IEEE Transactions on Systems, Man and Cybernetics - Special issue on artificial intelligence
Clinical Decision Support Systems: Theory and Practice
Clinical Decision Support Systems: Theory and Practice
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Models of Consensus for Knowledge Acquisition
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 6 - Volume 6
An empirical investigation of decision-making satisfaction in web-based decision support systems
Decision Support Systems
Some considerations for the implementation of knowledge-based expert systems
ACM SIGART Bulletin
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Journal of Management Information Systems
A framework for validation of rule-based systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Probabilities for a probabilistic network: a case study in oesophageal cancer
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
A framework for supporting emergency messages in wireless patient monitoring
Decision Support Systems
Enabling ubiquitous patient monitoring: Model, decision protocols, opportunities and challenges
Decision Support Systems
A Personal Assistant for Autonomous Life
HCD 09 Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009
Prediction of Low Back Pain with Two Expert Systems
Journal of Medical Systems
A framework for enabling patient monitoring via mobile ad hoc network
Decision Support Systems
Operations management applied to home care services: Analysis of the districting problem
Decision Support Systems
Computer Methods and Programs in Biomedicine
Business rules management in healthcare: A lifecycle approach
Decision Support Systems
Artificial Intelligence in Medicine
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Lower back pain (LBP) is a common medical problem that deprives many individuals of their normal lifestyles and keeps them from routine activities. Diagnosing LBP is challenging because it requires highly specialized knowledge involving a complex anatomical and physiological structure as well as diverse clinical considerations. Although a handful of studies have proposed or developed systems to support LBP diagnosis and improve knowledge sharing, these systems have limited scope, lack systematic evaluations, and/or ignore diagnoses that consist of multiple parts (i.e., decision outcomes), each of which corresponds to a particular medical condition, disease, or abnormality. In this study, we design, implement, and evaluate a Web-based decision support system that employs an intuitive and easy-to-use framework to assess the patient's information and recommend a diagnosis consisting of one or multiple parts. Our system design addresses the challenging characteristics of a LBP diagnosis and uses verbal probability estimation to represent and reason about the associated uncertainty. Our evaluations are systematic, including knowledge base verification, system validation using a modified Turing test, and clinical efficacy assessment involving 5 clinicians and 180 real-world cases collected from geographically dispersed clinics. Our evaluation design is more thorough than those used by most previous studies, and the proposed system is relatively ready for clinical deployment. Therefore, this study both contributes to decision support systems research and has advanced clinical support for LBP diagnosis. In light of some of the limitations of this study, we also identify and discuss several areas that need continued investigation.