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PAINULIM PAINful or impaired Upper LIMb. Nathan Wilds. PAINULIM. Perform diagnosis on patients suffering from painful or impaired upper limbs due to diseases of the spinal cord and/or PNS Clinical Examination Electromyography (EMG) Data Nerve Condition Studies. Diseases.
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PAINULIMPAINful or impaired Upper LIMb Nathan Wilds
PAINULIM • Perform diagnosis on patients suffering from painful or impaired upper limbs due to diseases of the spinal cord and/or PNS • Clinical Examination • Electromyography (EMG) Data • Nerve Condition Studies
Diseases • Amyotrophic Lateral Sclerosis • Parkinson’s Disease • Intrinsic Cord Disease • Carpal Tunnel Syndrome • Root Disease • Anterior Horn Disease • Others
Bayesian Network • Bayesian Belief Network based system • MSBN - Multiple sectioned Bayesian network • Uses natural localization existing in domain to decrease computational cost • Also limits outcomes not anatomically involved
Bayesian Network • Contains 83 variables representing 14 diseases and 69 features, each of which has 3 possible outcomes. • Multiply connected • 271 arcs with 6795 possible Values
Conclusions • Use of Bayesian Network • Works well with several hard to diagnose diseases • Can have huge patient base and localize information to reduce cost
Xiang Y, Pant B, Eisen A, Beddoes MP, Poole D. Multiply Sectioned Bayesian Networs for Neuromuscular Diagnosis. 1993. Artif Intell Med. (4):239-314.