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Thesis

Interference effects from machine learning matched confusable object pairs in memory assessment tasks

Abstract:

For early detection of neurodegeneration, objective cognitive tests provide a capable alternative to costly and invasive traditional biomarkers, as well as to short and infrequent in-clinic cognitive assessments. These tests, that are designed to target the cognitive processes first vulnerable to change in AD, can be remotely deployed in individuals’ lives over long durations for frequent and repeated measurements using widely accessible digital devices such as smartphones. A class of such...

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Division:
MSD
Department:
Psychiatry
Sub department:
Psychiatry
Research group:
Big Data Institute
Oxford college:
Hertford College
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Big Data Institute
Role:
Supervisor
More from this funder
Name:
Roche pharmaceuticals, Eli-Lilly pharmaceuticals
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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