PAINULIM PAINful or impaired Upper LIMb Nathan Wilds.

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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 Perform diagnosis on patients suffering from painful or impaired upper limbs due to diseases of the spinal cord and/or PNS Clinical ExaminationClinical Examination Electromyography (EMG) DataElectromyography (EMG) Data Nerve Condition StudiesNerve Condition Studies

Diseases Amyotrophic Lateral Sclerosis Amyotrophic Lateral Sclerosis Parkinson’s Disease Parkinson’s Disease Intrinsic Cord Disease Intrinsic Cord Disease Carpal Tunnel Syndrome Carpal Tunnel Syndrome Root Disease Root Disease Anterior Horn Disease Anterior Horn Disease Others Others

Bayesian Network Bayesian Belief Network based system Bayesian Belief Network based system MSBN - Multiple sectioned Bayesian network MSBN - Multiple sectioned Bayesian network Uses natural localization existing in domain to decrease computational costUses natural localization existing in domain to decrease computational cost Also limits outcomes not anatomically involvedAlso limits outcomes not anatomically involved

Bayesian Network Contains 83 variables representing 14 diseases and 69 features, each of which has 3 possible outcomes. Contains 83 variables representing 14 diseases and 69 features, each of which has 3 possible outcomes. Multiply connected Multiply connected 271 arcs with 6795 possible Values 271 arcs with 6795 possible Values

Conclusions Use of Bayesian Network Use of Bayesian Network Works well with several hard to diagnose diseases Works well with several hard to diagnose diseases Can have huge patient base and localize information to reduce cost 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 Artif Intell Med. (4): Xiang Y, Pant B, Eisen A, Beddoes MP, Poole D. Multiply Sectioned Bayesian Networs for Neuromuscular Diagnosis Artif Intell Med. (4):