35224799 33939656 33006905 32678860 35322156 32304429 34411708 35316690 35579813 32255677 31899451 31592867 34260593 33930132 32607451 33831447 34526544 34349566 35372378 33820654 33735222 34716409 32805032 31634808 35020782 34836823 34794060 3386749 - Search Results

Year	Number of Results
2019	3
2020	21
2021	41
2022	15

1

Dosing profiles of concurrent opioid and benzodiazepine use associated with overdose risk among US Medicare beneficiaries: group-based multi-trajectory models.

Lo-Ciganic WH, Hincapie-Castillo J, Wang T, Ge Y, Jones BL, Huang JL, Chang CY, Wilson DL, Lee JK, Reisfield GM, Kwoh CK, Delcher C, Nguyen KA, Zhou L, Shorr RI, Guo J, Marcum ZA, Harle CA, Park H, Winterstein A, Yang S, Huang PL, Adkins L, Gellad WF. Lo-Ciganic WH, et al. Addiction. 2022 Jul;117(7):1982-1997. doi: 10.1111/add.15857. Epub 2022 Apr 19. Addiction. 2022. PMID: 35224799

2

Prediction of Prolonged Opioid Use After Surgery in Adolescents: Insights From Machine Learning.

Ward A, Jani T, De Souza E, Scheinker D, Bambos N, Anderson TA. Ward A, et al. Anesth Analg. 2021 Aug 1;133(2):304-313. doi: 10.1213/ANE.0000000000005527. Anesth Analg. 2021. PMID: 33939656

3

Artificial intelligence interventions focused on opioid use disorders: A review of the gray literature.

Beaulieu T, Knight R, Nolan S, Quick O, Ti L. Beaulieu T, et al. Am J Drug Alcohol Abuse. 2021 Jan 2;47(1):26-42. doi: 10.1080/00952990.2020.1817466. Epub 2020 Oct 2. Am J Drug Alcohol Abuse. 2021. PMID: 33006905 Review.

4

Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study.

Lo-Ciganic WH, Huang JL, Zhang HH, Weiss JC, Kwoh CK, Donohue JM, Gordon AJ, Cochran G, Malone DC, Kuza CC, Gellad WF. Lo-Ciganic WH, et al. PLoS One. 2020 Jul 17;15(7):e0235981. doi: 10.1371/journal.pone.0235981. eCollection 2020. PLoS One. 2020. PMID: 32678860 Free PMC article.

5

Development and validation of a risk-score model for opioid overdose using a national claims database.

Heo KN, Lee JY, Ah YM. Heo KN, et al. Sci Rep. 2022 Mar 23;12(1):4974. doi: 10.1038/s41598-022-09095-y. Sci Rep. 2022. PMID: 35322156 Free PMC article. Clinical Trial.

6

Machine-learning approaches to substance-abuse research: emerging trends and their implications.

Barenholtz E, Fitzgerald ND, Hahn WE. Barenholtz E, et al. Curr Opin Psychiatry. 2020 Jul;33(4):334-342. doi: 10.1097/YCO.0000000000000611. Curr Opin Psychiatry. 2020. PMID: 32304429 Review.

7

Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes.

Mullin S, Zola J, Lee R, Hu J, MacKenzie B, Brickman A, Anaya G, Sinha S, Li A, Elkin PL. Mullin S, et al. J Biomed Inform. 2021 Oct;122:103889. doi: 10.1016/j.jbi.2021.103889. Epub 2021 Aug 16. J Biomed Inform. 2021. PMID: 34411708 Free PMC article. Review.

8

Risky alcohol use among patients dispensed opioid medications: A clinical community pharmacy study.

Cochran G, Charron E, Brown JL, Cernasev A, Hohmeier KC, Winhusen TJ. Cochran G, et al. Drug Alcohol Depend. 2022 May 1;234:109406. doi: 10.1016/j.drugalcdep.2022.109406. Epub 2022 Mar 16. Drug Alcohol Depend. 2022. PMID: 35316690

9

Applying Machine Learning in Distributed Data Networks for Pharmacoepidemiologic and Pharmacovigilance Studies: Opportunities, Challenges, and Considerations.

Wong J, Prieto-Alhambra D, Rijnbeek PR, Desai RJ, Reps JM, Toh S. Wong J, et al. Drug Saf. 2022 May;45(5):493-510. doi: 10.1007/s40264-022-01158-3. Epub 2022 May 17. Drug Saf. 2022. PMID: 35579813 Free PMC article. Review.

10

Engineering Approaches for Addressing Opioid Use Disorder in the Community.

Griffin PM. Griffin PM. Annu Rev Biomed Eng. 2020 Jun 4;22:207-229. doi: 10.1146/annurev-bioeng-082719-040832. Epub 2020 Apr 7. Annu Rev Biomed Eng. 2020. PMID: 32255677 Review.

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