Screening dementia and predicting high dementia risk groups using machine learning

doi:10.5498/wjp.v12.i2.204

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 12, Issue 2

This Article

Academic Content and Language Evaluation of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (5292)

All Articles published online

The chart showing PDF series, WORD series, HTML series, Figures (1-2) series, Tables (1-1) series.

Item

Count

PDF

290

WORD

113

HTML

2344

Figures (1-2)

373

Tables (1-1)

275

Sum=3395

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

266

Download

544

Sum=810

Publishing Process of This Article

Item

Count

Browse

406

Download

681

Sum=1087

Feb 19, 2022 (publication date) through Nov 22, 2024

Times Cited of This Article

Times Cited (6)

Journal Information of This Article

Publication Name

World Journal of Psychiatry

ISSN

2220-3206

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Editorial

World J Psychiatry. Feb 19, 2022; 12(2): 204-211
Published online Feb 19, 2022. doi: 10.5498/wjp.v12.i2.204

Full Size Figure Download Figure

Figure 2 The concept of two validations. A: The concept of hold-out validation; B: The concept of k-fold validation.

Citation: Byeon H. Screening dementia and predicting high dementia risk groups using machine learning. World J Psychiatry 2022; 12(2): 204-211
URL: https://www.wjgnet.com/2220-3206/full/v12/i2/204.htm
DOI: https://dx.doi.org/10.5498/wjp.v12.i2.204