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Detecting Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning
Anat Mirelman*, Mor Ben Or Frank, Michal Melamed, Lena Granovsky, Alice Nieuwboer, Lynn Rochester, Silvia Del Din, Laura Avanzino, Elisa Pelosin, Bastiaan R. Bloem, Ugo Della Croce, Andrea Cereatti, Paolo Bonato, Richard Camicioli, Theresa Ellis, Jamie L. Hamilton, Chris J. Hass, Quincy J. Almeida, Maidan Inbal, Avner Thaler
*Corresponding author for this work
- Tel Aviv Sourasky Medical Center
- Teva Pharmaceutical Industries Ltd.
- KU Leuven
- Newcastle University
- University of Genoa
- University and San Martino Hospital of Genoa
- Radboud University Nijmegen
- University of Sassari
- Polytechnic University of Turin
- Harvard University
- University of Alberta
- Boston University
- Michael J. Fox Foundation for Parkinson's Research
- University of Florida
- Wilfrid Laurier University
- Tel Aviv University
- Biogen IDEC
- Coeruleus Clinical Sciences LLC
- Yale University
- Rush University
Research output: Contribution to journal › Article › peer-review
50
Scopus
citations