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Parkinson's Disease PD and Essential Tremor ET patients represent a significant percentage of the clinical cases in movement disorders pathologies, which prevents to the affected people leading a normal life.
A physical disability results and important social exclusion in many cases are produced. The treatment methods are very differents, so it is critical hitting with the diagnosis in the early stages of these diseases. Until today, professionals and experts in medicine, use qualitative scales to differentiate pathology cases and its level of affectation. These scales are used to follow up clinically and register the patient's history.
This work proposes the use of binary classifiers focused on the Vector Support Machines SVM to obtain a differential diagnosis between the essential tremor and Parkinson's disease. List of journals by country. Authors Publish in Elsevier List of publications Manuscript preparation Send manuscripts Check the status of a manuscript.
Metrics The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the informatica binario de 2017 preceding years.
SJR is a prestige metric based on the idea that not all citations are the same. SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field. October - December Prev document - Next Document. Received 15 JanuaryAccepted 18 July This work proposes the use of binary classifiers focused on the Vector Support Machines SVM to obtain a differential diagnosis between the essential tremor and Parkinson's disease.
Computer Assisted diagnosis, binary classifiers, Parkinson- Essential classification, objective tremor measure, pattern analysis, feature extraction, medical diagnosis. Automatic recognition of Parkinson's disease from sustained phonation tests using ANN and adaptive neurofuzzy classifier.
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