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Opioid overdose identified by decile risk subgroup in the v..:

Wei-Hsuan Lo-Ciganic (5807402) ; Julie M. Donohue (5807396) ; Eric G. Hulsey (10326052)...
https://figshare.com/articles/figure/Opioid_overdose_identified_by_decile_risk_subgroup_in_the_validation_sample_n_79_086_using_gradient_boosting_machine_Integrated_vs_Medicaid_claim_only_models_sup_a_sup_/14240074. , 2021

Link: https://doi.org/10.1371/journal.pone.0248360.g002

RT Journal
T1 <Title>Opioid overdose identified by decile risk subgroup in the validation sample (n = 79,086) using gradient boosting machine: Integrated vs. Medicaid claim only models a</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_14240074&Exemplar=1&LAN=DE
				
A1 Wei-Hsuan Lo-Ciganic (5807402)
A1 Julie M. Donohue (5807396)
A1 Eric G. Hulsey (10326052)
A1 Susan Barnes (10326055)
A1 Yuan Li (67017)
A1 Courtney C. Kuza (9137374)
A1 Qingnan Yang (10326058)
A1 Jeanine Buchanich (10326061)
A1 James L. Huang (9137359)
A1 Christina Mair (10326064)
A1 Debbie L. Wilson (10326067)
A1 Walid F. Gellad (5807399)
YR 2021
K1 Medicine
K1 Pharmacology
K1 Biotechnology
K1 Sociology
K1 Science Policy
K1 Mental Health
K1 Biological Sciences not elsewhere classified
K1 Chemical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 Medicaid claims
K1 NNE
K1 opioid overdose prediction
K1 claims data
K1 bottom 9 deciles
K1 nonfatal opioid overdose
K1 service
K1 justice data
K1 beneficiary
K1 opioid overdose risk
K1 Medicaid enrollment date
K1 study period
K1 30- day periods
K1 machine-learning approach Health sy
K1 CI
K1 health claims data
K1 U.S
K1 risk-score decile subgroups
K1 Medicaid claims data
K1 model
K1 Medicaid beneficiaries
JF https://figshare.com/articles/figure/Opioid_overdose_identified_by_decile_risk_subgroup_in_the_validation_sample_n_79_086_using_gradient_boosting_machine_Integrated_vs_Medicaid_claim_only_models_sup_a_sup_/14240074
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0248360.g002
DO https://doi.org/10.1371/journal.pone.0248360.g002
SF ELIB - SuUB Bremen

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