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Year	Number of Results
2013	1
2021	2
2022	2

Page 1

Examination of social smoking classifications using a machine learning approach.

Franzwa F, Harper LA, Anderson KG. Franzwa F, et al. Addict Behav. 2022 Mar;126:107175. doi: 10.1016/j.addbeh.2021.107175. Epub 2021 Nov 8. Addict Behav. 2022. PMID: 34838389

Machine learning applications in tobacco research: a scoping review.

Fu R, Kundu A, Mitsakakis N, Elton-Marshall T, Wang W, Hill S, Bondy SJ, Hamilton H, Selby P, Schwartz R, Chaiton MO. Fu R, et al. Tob Control. 2021 Aug 27:tobaccocontrol-2020-056438. doi: 10.1136/tobaccocontrol-2020-056438. Online ahead of print. Tob Control. 2021. PMID: 34452986

Covariate adjustment of spirometric and smoking phenotypes: The potential of neural network models.

Voorhies K, Bie R, Hokanson JE, Weiss ST, Chen Wu A, Hecker J, Hahn G, Demeo DL, Silverman E, Cho MH, Lange C, Lutz SM. Voorhies K, et al. PLoS One. 2022 May 11;17(5):e0266752. doi: 10.1371/journal.pone.0266752. eCollection 2022. PLoS One. 2022. PMID: 35544468 Free PMC article.

Practice-Based Knowledge Discovery for Comparative Effectiveness Research: An Organizing Framework.

Lucero RJ, Bakken S. Lucero RJ, et al. Can J Nurs Res. 2013 Mar;45(1):98-112. doi: 10.1177/084456211304500109. Can J Nurs Res. 2013. PMID: 25278645 Free PMC article.

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