Predicting alcohol-related memory problems in older adults: A machine learning study with multi-domain features

Authors

Chella Kamarajan, SUNY Downstate Health Sciences University
Andrey P Anokhin, Washington University School of Medicine in St. Louis
Sarah Hartz, Washington University School of Medicine in St. Louis
Laura J Bierut, Washington University School of Medicine in St. Louis
Vivia V McCutcheon, Washington University School of Medicine in St. Louis
Kathleen K Bucholz, Washington University School of Medicine in St. Louis
Et al.

Journal

Behavioral Sciences

Publication Date

5-18-2023

Volume

13

Issue

5

First Page

427

Document Type

Open Access Publication

DOI

10.3390/bs13050427

Rights and Permissions

Kamarajan, C.; Pandey, A.K.; Chorlian, D.B.; Meyers, J.L.; Kinreich, S.; Pandey, G.; Subbie-Saenz de Viteri, S.; Zhang, J.; Kuang, W.; Barr, P.B.; et al. Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. Behav. Sci. 2023, 13, 427. https://doi.org/10.3390/bs13050427 This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Recommended Citation

Kamarajan, Chella; Anokhin, Andrey P; Hartz, Sarah; Bierut, Laura J; McCutcheon, Vivia V; Bucholz, Kathleen K; and Et al., "Predicting alcohol-related memory problems in older adults: A machine learning study with multi-domain features." Behavioral Sciences. 13, 5. 427 (2023).
https://digitalcommons.wustl.edu/oa_4/1989

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.