STREAMLINING CLINICAL DETECTION OF ALZHEIMER’S DISEASE USING ELECTRONIC HEALTH RECORDS AND MACHINE LEARNING TECHNIQUES
Alzheimer’s disease is typically detected using a combination of cognitive-behavioral assessment exams and interviews of both the patient and a family member or caregiver, both administered and interpreted by a trained physician. This procedure, while standard in medical practice, can be time consum...
Other Authors: | Kleiman, Michael J. (author) |
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Format: | Others |
Language: | English |
Published: |
Florida Atlantic University
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Subjects: | |
Online Access: | http://purl.flvc.org/fau/fd/FA00013326 |
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