Journal article
Alzheimer's \& Dementia, vol. 20, Wiley Online Library, 2024, pp. e091357
Scientist, Educator, and Director of the B.R.A.I.N. Collaborative
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Philadelphia, PA19107
Scientist, Educator, and Director of the B.R.A.I.N. Collaborative
Office Phone: (215) 503-3859
Department of Health Science & Clinical Practice
Thomas Jefferson University
130 South 9th Street
Room 960T
Philadelphia, PA19107
APA
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Fausto, B. A., Budak, M., Sheikh, M., Perez, J. M., Li, S., Hu, L., & Gluck, M. A. (2024). A Bayesian machine learning approach to Nature vs. Nurture: Predicting a cognitive marker of Alzheimer’s risk in a deeply-phenotyped cohort of cognitively unimpaired older African Americans. Alzheimer's \&Amp; Dementia, 20, e091357.
Chicago/Turabian
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Fausto, Bernadette A, Miray Budak, Mustafa Sheikh, Jos{\'e} Mojica Perez, Shengguo Li, Liangyuan Hu, and Mark A Gluck. “A Bayesian Machine Learning Approach to Nature vs. Nurture: Predicting a Cognitive Marker of Alzheimer’s Risk in a Deeply-Phenotyped Cohort of Cognitively Unimpaired Older African Americans.” Alzheimer's \& Dementia 20 (2024): e091357.
MLA
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Fausto, Bernadette A., et al. “A Bayesian Machine Learning Approach to Nature vs. Nurture: Predicting a Cognitive Marker of Alzheimer’s Risk in a Deeply-Phenotyped Cohort of Cognitively Unimpaired Older African Americans.” Alzheimer's \&Amp; Dementia, vol. 20, Wiley Online Library, 2024, p. e091357.
BibTeX Click to copy
@article{fausto2024a,
title = {A Bayesian machine learning approach to Nature vs. Nurture: Predicting a cognitive marker of Alzheimer’s risk in a deeply-phenotyped cohort of cognitively unimpaired older African Americans},
year = {2024},
journal = {Alzheimer's \& Dementia},
pages = {e091357},
publisher = {Wiley Online Library},
volume = {20},
author = {Fausto, Bernadette A and Budak, Miray and Sheikh, Mustafa and Perez, Jos{\'e} Mojica and Li, Shengguo and Hu, Liangyuan and Gluck, Mark A}
}