Work

A - 113 Assessing the Feasibility of Machine Learning to Predict Frontotemporal Dementia Severity from Neuropsychological Assessments

Year: 2024

Type: article

Source: Archives of Clinical Neuropsychology

DOI: 10.1093/arclin/acae067.127

Authors: Jonathan Brett, Ryan Bennett, Samantha Carrano, Dania Dabbagh

Language: English

Topic: Dementia and Cognitive Impairment Research

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4402543152

FWCI:

Cites:

Cited by:

Related to: 10