Speed of Forgetting: A Computational Biomarker and Early Indicator for Memory Impairment

dc.contributor.advisorStocco, Andrea
dc.contributor.authorHake, Holly
dc.date.accessioned2024-09-09T23:03:39Z
dc.date.available2024-09-09T23:03:39Z
dc.date.issued2024-09-09
dc.date.submitted2024
dc.descriptionThesis (Ph.D.)--University of Washington, 2024
dc.description.abstractIn our increasingly digital world, medicine and healthcare must advance accordingly. This work validates a model-based tool for quantifying forgetting and capturing general biological processes behind abnormal memory impairment. We introduce an online assessment tool for early detection of memory impairments. By using the computational biomarker 'Speed of Forgetting', our system transforms memory assessment with an easily interpretable and repeatable model. It detects impairments in just 8 minutes of online interaction, far surpassing traditional methods that require up to 3 hours in a clinical setting. This metric advances proactive memory care, enabling broad and affordable cognitive health monitoring across diverse populations.
dc.embargo.termsOpen Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherHake_washington_0250E_27263.pdf
dc.identifier.urihttps://hdl.handle.net/1773/51797
dc.language.isoen_US
dc.rightsCC BY-SA
dc.subjectComputational Modeling
dc.subjectDiagnostics
dc.subjectHealth Care
dc.subjectMemory
dc.subjectNeurosciences
dc.subject.otherBehavioral neuroscience
dc.titleSpeed of Forgetting: A Computational Biomarker and Early Indicator for Memory Impairment
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Hake_washington_0250E_27263.pdf
Size:
10.9 MB
Format:
Adobe Portable Document Format

Collections