Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams
Author:
Affiliation:
1. Apple Inc., Cupertino, CA, USA
2. Evidation Health, Inc., San Mateo, CA, USA
3. Eli Lilly and Company, Indianapolis, IN, USA
Funder
Eli Lilly and Company
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3292500.3330690
Reference37 articles.
1. Rabeea'hWAslam Vickie Bates Yenal Dundar Juliet Hounsome Marty Richardson Ashma Krishan Rumona Dickson Angela Boland Joanne Fisher Louise Robinson etal 2018. A systematic review of the diagnostic accuracy of automated tests for cognitive impairment. International journal of geriatric psychiatry 33 4 (2018) 561--575. Rabeea'hWAslam Vickie Bates Yenal Dundar Juliet Hounsome Marty Richardson Ashma Krishan Rumona Dickson Angela Boland Joanne Fisher Louise Robinson et al. 2018. A systematic review of the diagnostic accuracy of automated tests for cognitive impairment. International journal of geriatric psychiatry 33 4 (2018) 561--575.
2. Computerized Neuropsychological Assessment Devices: Joint Position Paper of the American Academy of Clinical Neuropsychology and the National Academy of Neuropsychology
3. Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms
4. Missed and Delayed Diagnosis of Dementia in Primary Care
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