Deep Phenotyping of Parkinson’s Disease

Author:

Dorsey E. Ray12,Omberg Larsson3,Waddell Emma1,Adams Jamie L.12,Adams Roy4,Ali Mohammad Rafayet5,Amodeo Katherine2,Arky Abigail1,Augustine Erika F.12,Dinesh Karthik6,Hoque Mohammed Ehsan5,Glidden Alistair M.1,Jensen-Roberts Stella1,Kabelac Zachary7,Katabi Dina7,Kieburtz Karl12,Kinel Daniel R.12,Little Max A.89,Lizarraga Karlo J.12,Myers Taylor1,Riggare Sara10,Rosero Spencer Z.11,Saria Suchi412,Schifitto Giovanni2,Schneider Ruth B.12,Sharma Gaurav613,Shoulson Ira1214,Stevenson E. Anna1,Tarolli Christopher G.12,Luo Jiebo5,McDermott Michael P.113

Affiliation:

1. Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA

2. Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA

3. Sage Bionetworks, Seattle, WA, USA

4. Machine Learning, AI and Healthcare Lab, Johns Hopkins University, Baltimore, MD, USA

5. Department of Computer Science, University of Rochester, Rochester, NY, USA

6. Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA

7. Department of Computer Science and Artificial Intelligence, Massachusetts Institute of Technology, Cambridge, MA, USA

8. School of Computer Science, University of Birmingham, UK

9. Massachusetts Institute of Technology, MA, USA

10. Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden

11. Department of Medicine, University of Rochester, Rochester, NY, USA

12. Department of Computer Science, Statistics, and Health Policy, Johns Hopkins University, MD, USA

13. Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, USA

14. Grey Matter Technologies, Sarasota, FL, USA

Publisher

IOS Press

Subject

Cellular and Molecular Neuroscience,Clinical Neurology

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