HRS Bibliography

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C

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. 2020. doi:10.1093/geronb/gby054.
http://www.ncbi.nlm.nih.gov/pubmed/29718387?dopt=Abstract
Chowdhury RI, Hasan MT, Huda S, Sneddon G. Regressive class models for machine learning algorithms to predict trajectories of repeated multinomial outcomes: an application to the activity of daily living of elderly data. Communications in Statistics: Simulation and Computation. 2024. doi:10.1080/03610918.2024.2311774.

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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

H

Hancock J, Khoshgoftaar TM, Landset S. Statistical Significance of Hyperparameter Tuning for Varying Levels of Class Imbalance. In: 26th ISSAT International Conference on Reliability and Quality in Design, RQD 2021. 26th ISSAT International Conference on Reliability and Quality in Design, RQD 2021. ; 2021.

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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

S

Schiltz NK, Warner DF, Sun J, et al. Identifying Specific Combinations of Multimorbidity that Contribute to Health Care Resource Utilization: An Analytic Approach. Med Care. 2017;55(3):276-284. doi:10.1097/MLR.0000000000000660.
http://www.ncbi.nlm.nih.gov/pubmed/27753745?dopt=Abstract
Seligman B, Tuljapurkar S, Rehkopf D. 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
Shen X, Yin F, Jiao C. Predictive Models of Life Satisfaction in Older People: A Machine Learning Approach. Int J Environ Res Public Health. 2023;20(3). doi:10.3390/ijerph20032445.