Developing better digital health measures of Parkinson's disease using free living data and a crowdsourced data analysis challenge.

Autor: Sieberts SK; Sage Bionetworks, Seattle, Washington, United States of America., Borzymowski H; Independent researcher., Guan Y; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America., Huang Y; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America., Matzner A; Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel., Page A; Center for Health + Technology, University of Rochester Medical Center, Rochester, New York, United States of America.; Cardiology Division, University of Rochester Medical Center, Rochester, New York, United States of America., Bar-Gad I; Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel., Beaulieu-Jones B; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.; Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, United States of America., El-Hanani Y; Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel., Goschenhofer J; Independent researcher., Javidnia M; Center for Health + Technology, University of Rochester Medical Center, Rochester, New York, United States of America.; Department of Neurology, University of Rochester, Rochester, New York, United States of America., Keller MS; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America., Li YC; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America., Saqib M; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America., Smith G; Center for Health + Technology, University of Rochester Medical Center, Rochester, New York, United States of America.; Department of Neurology, University of Rochester, Rochester, New York, United States of America., Stanescu A; Department of Computing and Mathematics, University of West Georgia, Carrollton, Georgia, United States of America., Venuto CS; Center for Health + Technology, University of Rochester Medical Center, Rochester, New York, United States of America.; Department of Neurology, University of Rochester, Rochester, New York, United States of America., Zielinski R; Center for Health + Technology, University of Rochester Medical Center, Rochester, New York, United States of America.; Department of Neurology, University of Rochester, Rochester, New York, United States of America., Jayaraman A; Center for Rehabilitation Technologies & Outcomes Research, Shirley Ryan AbilityLab, Chicago, Illinois, United States of America., Evers LJW; Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands.; Institute for Computing and Information Sciences, Radboud University, Nijmegen, the Netherlands., Foschini L; Evidation Health, Santa Barbara, California, United States of America., Mariakakis A; Department of Computer Science, University of Toronto, Toronto, Ontario, Canada., Pandey G; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America., Shawen N; Center for Rehabilitation Technologies & Outcomes Research, Shirley Ryan AbilityLab, Chicago, Illinois, United States of America.; Medical Scientist Training Program, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America., Synder P; Sage Bionetworks, Seattle, Washington, United States of America., Omberg L; Sage Bionetworks, Seattle, Washington, United States of America.

Publikováno v: PLOS digital health [PLOS Digit Health] 2023 Mar 28; Vol. 2 (3), pp. e0000208. Date of Electronic Publication: 2023 Mar 28 (Print Publication: 2023).

Artificial Intelligence and Machine Learning : 33rd Benelux Conference on Artificial Intelligence, BNAIC/Benelearn 2021, Esch-sur-Alzette, Luxembourg, November 10–12, 2021, Revised Selected Papers

Autor: Luis A. Leiva, Cédric Pruski, Réka Markovich, Amro Najjar, Christoph Schommer

This book contains a selection of the best papers of the 33rd Benelux Conference on Artificial Intelligence, BNAIC/ BENELEARN 2021, held in Esch-sur-Alzette, Luxembourg, in November 2021. The 14 papers presented in this volume were carefully reviewed