Work

Machine learning algorithms and traditional statistical models for detection of dementia: a population-based study

Year: 2025

Type: article

Study design: Observational Study

Source: Age and Ageing

DOI: 10.1093/ageing/afaf085

Authors: Yuqi Li, Tingting Hou, Jiaqi Dong, Cuicui Liu, Na Tian, Min Zhu, Yi Dong, Jiafeng Wang, Guoqing Zhang, Lin Song, Lin Cong, Shi Tang, Yongxiang Wang, Keke Liu, Yifeng Du, Chengxuan Qiu

Institutions: Shandong Provincial Hospital, Shandong First Medical University, Karolinska Institutet

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

Funders: Swedish Foundation for International Cooperation in Research and Higher Education, National Natural Science Foundation of China, Vetenskapsrådet, Natural Science Foundation of Shandong Province, National Key Research and Development Program of China

Awards: Exploring chronic hypoxia as a possible pathway linking clinical conditions of the heart, lungs, and blood with accelerated brain aging, Exploring the complex interplay between lifestyle factors, brain pathology, and cognitive reserve in cognitive decline and dementia, G3273638711, G3596888253, G4607128697, G5963286561, G672563243, G8906844042

OpenAlex ID: W4417274155

FWCI: 0.618

Cites: 43

Cited by: 1

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