Examining heterogeneity in dementia using data-driven unsupervised clustering of cognitive profiles

Authors

Sayantan Kumar, Washington University School of Medicine in St. Louis
Inez Y. Oh, Washington University School of Medicine in St. Louis
Suzanne E. Schindler, Washington University School of Medicine in St. Louis
Nupur Ghoshal, Washington University School of Medicine in St. Louis
Zachary Abrams, Washington University School of Medicine in St. Louis
Philip R. O. Payne, Washington University School of Medicine in St. Louis

Journal

PLoS One

Publication Date

1-1-2024

Volume

19

Issue

11

First Page

e0313425

Document Type

Open Access Publication

DOI

10.1371/journal.pone.0313425

Rights and Permissions

Kumar S, Oh IY, Schindler SE, Ghoshal N, Abrams Z, Payne PRO. Examining heterogeneity in dementia using data-driven unsupervised clustering of cognitive profiles. PLoS One. 2024 Nov 14;19(11):e0313425. doi: 10.1371/journal.pone.0313425. © 2024 Kumar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Recommended Citation

Kumar, Sayantan; Oh, Inez Y.; Schindler, Suzanne E.; Ghoshal, Nupur; Abrams, Zachary; and Payne, Philip R. O., "Examining heterogeneity in dementia using data-driven unsupervised clustering of cognitive profiles." PLoS One. 19, 11. e0313425 (2024).
https://digitalcommons.wustl.edu/oa_4/4808

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.