Literature DB >> 34808402

A comparison of methods to identify antenatal substance use within electronic health records.

Leigh Anne Tang1, Alvin D Jeffery2, Ashley A Leech3, Sarah S Osmundson4, Lori Schirle2, Julia C Phillippi2.   

Abstract

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Year:  2021        PMID: 34808402      PMCID: PMC8893715          DOI: 10.1016/j.ajogmf.2021.100535

Source DB:  PubMed          Journal:  Am J Obstet Gynecol MFM        ISSN: 2589-9333


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  5 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

2.  Common data elements for substance use disorders in electronic health records: the NIDA Clinical Trials Network experience.

Authors:  Udi E Ghitza; Robert E Gore-Langton; Robert Lindblad; David Shide; Geetha Subramaniam; Betty Tai
Journal:  Addiction       Date:  2012-05-08       Impact factor: 6.526

3.  Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm.

Authors:  Brian E Chapman; Sean Lee; Hyunseok Peter Kang; Wendy W Chapman
Journal:  J Biomed Inform       Date:  2011-04-01       Impact factor: 6.317

4.  Opioid Use Disorder Documented at Delivery Hospitalization - United States, 1999-2014.

Authors:  Sarah C Haight; Jean Y Ko; Van T Tong; Michele K Bohm; William M Callaghan
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2018-08-10       Impact factor: 17.586

5.  Natural Language Processing of Clinical Notes to Identify Mental Illness and Substance Use Among People Living with HIV: Retrospective Cohort Study.

Authors:  Jessica P Ridgway; Arno Uvin; Jessica Schmitt; Tomasz Oliwa; Ellen Almirol; Samantha Devlin; John Schneider
Journal:  JMIR Med Inform       Date:  2021-03-10
  5 in total

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