Detecting Parkinson's Disease from Interactions with a Search Engine
Author:
Affiliation:
1. Microsoft Research, Herzliya, Israel
2. Microsoft Research, Herziliya, Israel
3. Microsoft Reaserch, Herziliya, Israel
4. Hadassah Medical School, Jerusalem, Israel
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3269206.3269250
Reference17 articles.
1. User engagement in online News: Under the scope of sentiment, interest, affect, and gaze
2. Ioannis Arapakis and Luis A Leiva. 2016. Predicting user engagement with direct displays using mouse cursor information. In SIGIR. ACM. 10.1145/2911451.2911505 Ioannis Arapakis and Luis A Leiva. 2016. Predicting user engagement with direct displays using mouse cursor information. In SIGIR. ACM. 10.1145/2911451.2911505
3. Search Result Prefetching Using Cursor Movement
4. Giancardo et al. 2016. Computer keyboard interaction as an indicator of early Parkinson's disease. Scientific reports (2016). Giancardo et al. 2016. Computer keyboard interaction as an indicator of early Parkinson's disease. Scientific reports (2016).
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