J Med Syst - A clinical decision support system with an integrated EMR for diagnosis of peripheral neuropathy.

Tópicos

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Resumo

The prevalence of peripheral neuropathy in general population is ever increasing. The diagnosis and classification of peripheral neuropathies is often difficult as it involves careful clinical and electro-diagnostic examination by an expert neurologist. In developing countries a large percentage of the disease remains undiagnosed due to lack of adequate number of experts. In this study a novel clinical decision support system has been developed using a fuzzy expert system. The study was done to provide a solution to the demand of systems that can improve health care by accurate diagnosis in limited time, in the absence of specialists. It employs a graphical user interface and a fuzzy logic controller with rule viewer for identification of the type of peripheral neuropathy. An integrated medical records database is also developed for the storage and retrieval of the data. The system consists of 24 input fields, which includes the clinical values of the diagnostic test and the clinical symptoms. The output field is the disease diagnosis, whether it is Motor (Demyelinating/Axonopathy) neuropathy, sensory (Demyelinating/Axonopathy) neuropathy, mixed type or a normal case. The results obtained were compared with the expert's opinion and the system showed 93.27 % accuracy. The study aims at showing that Fuzzy Expert Systems may prove useful in providing diagnostic and predictive medical opinions. It enables the clinicians to arrive at a better diagnosis as it keeps the expert knowledge in an intelligent system to be used efficiently and effectively.

Resumo Limpo

preval peripher neuropathi general popul ever increas diagnosi classif peripher neuropathi often difficult involv care clinic electrodiagnost examin expert neurologist develop countri larg percentag diseas remain undiagnos due lack adequ number expert studi novel clinic decis support system develop use fuzzi expert system studi done provid solut demand system can improv health care accur diagnosi limit time absenc specialist employ graphic user interfac fuzzi logic control rule viewer identif type peripher neuropathi integr medic record databas also develop storag retriev data system consist input field includ clinic valu diagnost test clinic symptom output field diseas diagnosi whether motor demyelinatingaxonopathi neuropathi sensori demyelinatingaxonopathi neuropathi mix type normal case result obtain compar expert opinion system show accuraci studi aim show fuzzi expert system may prove use provid diagnost predict medic opinion enabl clinician arriv better diagnosi keep expert knowledg intellig system use effici effect

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