| Title: | Unsupervised learning from motion sensor data to assess the condition of patients with Parkinson's disease |
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| Authors: | ID Matić, Teodora (Author)
ID Aghanavesi, Somayeh (Author)
ID Memedi, Mevludin (Author)
ID Nyholm, Dag (Author)
ID Bergquist, Filip (Author)
ID Groznik, Vida (Author)
ID Žabkar, Jure (Author)
ID Sadikov, Aleksander (Author) |
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| Files: |  https://link.springer.com/chapter/10.1007%2F978-3-030-21642-9_52
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| Language: | English |
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| Work type: | Unknown |
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| Typology: | 1.08 - Published Scientific Conference Contribution |
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| Organization: | IAM - Andrej Marušič Institute
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| Keywords: | unsupervised learning, sensor data, Parkinson's disease |
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| Year of publishing: | 2019 |
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| Number of pages: | Str. 420-424 |
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| PID: | 20.500.12556/RUP-17035  |
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| UDC: | 616.858:004.89 |
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| ISSN on article: | 1611-3349 |
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| DOI: | 10.1007/978-3-030-21642-9_52 |
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| COBISS.SI-ID: | 1541444036 |
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| Publication date in RUP: | 26.10.2021 |
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| Views: | 3708 |
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| Downloads: | 25 |
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| Metadata: |    |
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