Work

Detecting Japanese Patients with Alzheimer’s Disease based on Word Category Frequencies

Year: 2016

Type: conference-paper

Study design: Observational Study

Source: International Conference on Computational Linguistics

Authors: Daisaku Shibata, Shoko Wakamiya, Ayae Kinoshita, Eiji Aramaki

Institutions: National Archives and Records Administration, Nara Institute of Science and Technology, Kyoto University

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: W2787569287

FWCI: 8.143

Cites: 17

Cited by: 20

Related to: 10