<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12</volume><submitter>Lee MR</submitter><funding>National Institute on Alcohol Abuse and Alcoholism</funding><funding>National Institutes of Health</funding><funding>NIH</funding><funding>National Institute on Drug Abuse</funding><journal>EClinicalMedicine</journal><pagination>70-78</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6677650</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Using Machine Learning to Classify Individuals With Alcohol Use Disorder Based on Treatment Seeking Status.</pubmed_title><pmcid>PMC6677650</pmcid><funding_grant_id>ZIA-AA000218</funding_grant_id><pubmed_authors>McQueen PG</pubmed_authors><pubmed_authors>Kennedy WG</pubmed_authors><pubmed_authors>Barb JJ</pubmed_authors><pubmed_authors>Leggio L</pubmed_authors><pubmed_authors>Sankar V</pubmed_authors><pubmed_authors>Lee MR</pubmed_authors><pubmed_authors>Hammer A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Using Machine Learning to Classify Individuals With Alcohol Use Disorder Based on Treatment Seeking Status.</name><description/><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Jul</publication><modification>2025-04-22T15:08:14.245Z</modification><creation>2025-04-06T01:16:04.761Z</creation></dates><accession>S-EPMC6677650</accession><cross_references><pubmed>31388665</pubmed><doi>10.1016/j.eclinm.2019.05.008</doi></cross_references></HashMap>