A machine learning approach to quantifying fall conversion risk in fall-naïve Parkinson's patients.
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| Title: | A machine learning approach to quantifying fall conversion risk in fall-naïve Parkinson's patients. |
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| Authors: | Jansen AE; Cleveland Clinic, Department of Biomedical Engineering, 9500 Euclid Ave., Cleveland, OH, USA., Cantlay P; Cleveland Clinic, Department of Biomedical Engineering, 9500 Euclid Ave., Cleveland, OH, USA., Felix C; Cleveland Clinic, Center for Neurological Restoration, 9500 Euclid Ave., Cleveland, OH, USA., Rosenfeldt AB; Cleveland Clinic, Department of Biomedical Engineering, 9500 Euclid Ave., Cleveland, OH, USA., Lopez-Lennon C; University of Utah, Department of Physical Therapy and Athletic Training, Salt Lake City, UT, USA., Fernandez H; Cleveland Clinic, Center for Neurological Restoration, 9500 Euclid Ave., Cleveland, OH, USA., Zimmerman E; Cleveland Clinic, Center for Neurological Restoration, 9500 Euclid Ave., Cleveland, OH, USA., Imrey PB; Cleveland Clinic, Department of Quantitative Health Sciences, 9500 Euclid Ave., Cleveland, OH, USA; Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Department of Medicine, 9500 Euclid Ave., Cleveland, OH, USA., Dibble LE; University of Utah, Department of Physical Therapy and Athletic Training, Salt Lake City, UT, USA., Alberts JL; Cleveland Clinic, Department of Biomedical Engineering, 9500 Euclid Ave., Cleveland, OH, USA; Cleveland Clinic, Center for Neurological Restoration, 9500 Euclid Ave., Cleveland, OH, USA. Electronic address: jansena@ccf.org. |
| Source: | Parkinsonism & related disorders [Parkinsonism Relat Disord] 2026 Jul; Vol. 148, pp. 108368. Date of Electronic Publication: 2026 May 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Science Country of Publication: England NLM ID: 9513583 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5126 (Electronic) Linking ISSN: 13538020 NLM ISO Abbreviation: Parkinsonism Relat Disord Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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