Early-warning signals for disease activity in patients diagnosed with multiple sclerosis based on keystroke dynamics
Author:
Affiliation:
1. Neurocast B.V., Amsterdam 1097DN, The Netherlands
2. Department of Neurology, Amsterdam University Medical Centers, Amsterdam 1105AZ, The Netherlands
Funder
TKI Life Sciences & Health
Biogen
Stichting MS Research
Publisher
AIP Publishing
Subject
Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0022031
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1. Recognition of human daytime fatigue using keystroke data
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4. Contribution of impaired mobility to patient burden in multiple sclerosis
5. Clinical outcome measures in multiple sclerosis: A review
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