Unsupervised learning based feature extraction for differential diagnosis of neurodegenerative diseases: A case study on early-stage diagnosis of Parkinson disease.
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| Title: | Unsupervised learning based feature extraction for differential diagnosis of neurodegenerative diseases: A case study on early-stage diagnosis of Parkinson disease. |
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| Authors: | Singh G; Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore., Samavedham L; Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore; Residential College 4, 8 College Avenue West, #02-16W, Education Resource Centre, Singapore 138608, Singapore. Electronic address: laksh@nus.edu.sg. |
| Source: | Journal of neuroscience methods [J Neurosci Methods] 2015 Dec 30; Vol. 256, pp. 30-40. Date of Electronic Publication: 2015 Aug 21. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7905558 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-678X (Electronic) Linking ISSN: 01650270 NLM ISO Abbreviation: J Neurosci Methods Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1872-678X |
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| DOI: | 10.1016/j.jneumeth.2015.08.011 |
