Machine learning-based detection of Parkinson's disease from facial expressions, hand movements, speech, and gait with general-purpose equipment: a systematic review.

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Bibliographic Details
Title: Machine learning-based detection of Parkinson's disease from facial expressions, hand movements, speech, and gait with general-purpose equipment: a systematic review.
Authors: Moshkova AA; Biomedical Technique Department, Bauman Moscow State Technical University (BMSTU), Moscow 105005, Russia. Electronic address: nast.moshkova@bmstu.ru., Novikova AO; Biomedical Technique Department, Bauman Moscow State Technical University (BMSTU), Moscow 105005, Russia., Polguev MI; Biomedical Technique Department, Bauman Moscow State Technical University (BMSTU), Moscow 105005, Russia., Kubinskaya DD; Biomedical Technique Department, Bauman Moscow State Technical University (BMSTU), Moscow 105005, Russia., Ershova MV; Russian Center of Neurology and Neurosciences, Moscow 125367, Russia., Ivanova EO; Russian Center of Neurology and Neurosciences, Moscow 125367, Russia., Fedotova EY; Russian Center of Neurology and Neurosciences, Moscow 125367, Russia., Yurchenko SO; Biomedical Technique Department, Bauman Moscow State Technical University (BMSTU), Moscow 105005, Russia., Illarioshkin SN; Russian Center of Neurology and Neurosciences, Moscow 125367, Russia., Samorodov AV; Biomedical Technique Department, Bauman Moscow State Technical University (BMSTU), Moscow 105005, Russia., Piradov MA; Russian Center of Neurology and Neurosciences, Moscow 125367, Russia.
Source: International journal of medical informatics [Int J Med Inform] 2026 Jul 05; Vol. 220, pp. 106587. Date of Electronic Publication: 2026 Jul 05.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-8243
DOI:10.1016/j.ijmedinf.2026.106587