HRS Bibliography

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Forthcoming

Casanova R, Saldana S, Lutz MW, Plassman BL, Kuchibhatla M, Hayden KM. Investigating predictors of cognitive decline using machine learning. Journals of Gerontology, Series B: Psychological Sciences & Social Sciences. Forthcoming. doi:10.1093/geronb/gby054.
http://www.ncbi.nlm.nih.gov/pubmed/29718387?dopt=Abstract

2018

Seligman B, Tuljapurkar S, Rehkopf DH. Machine learning approaches to the social determinants of health in the Health and Retirement study. SSM Popul Health. 2018;4:95-99. doi:10.1016/j.ssmph.2017.11.008.
http://www.ncbi.nlm.nih.gov/pubmed/29349278?dopt=Abstract
de Langavant LCleret, Bayen E, Yaffe K. Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study. Journal of Medical Internet Research. 2018;20(7):e10493. doi:10.2196/10493.
http://www.ncbi.nlm.nih.gov/pubmed/29986849?dopt=Abstract

2017

Pare G, Mao S, Deng WQ. A machine-learning heuristic to improve gene score prediction of polygenic traits. Scientific Reports. 2017;7(1):12665. doi:10.1038/s41598-017-13056-1.
http://www.ncbi.nlm.nih.gov/pubmed/28979001?dopt=Abstract