Literature DB >> 33421646

The utility of electronic health record data for identifying postpartum hemorrhage.

Mark A Clapp1, Thomas H McCoy2, Kaitlyn E James3, Anjali J Kaimal4, Roy H Perlis5.   

Abstract

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Year:  2021        PMID： 33421646     DOI： 10.1016/j.ajogmf.2020.100305

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


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  2 in total

1.  Comparison of Natural Language Processing of Clinical Notes With a Validated Risk-Stratification Tool to Predict Severe Maternal Morbidity.

Authors:  Mark A Clapp; Ellen Kim; Kaitlyn E James; Roy H Perlis; Anjali J Kaimal; Thomas H McCoy; Sarah Rae Easter
Journal:  JAMA Netw Open       Date:  2022-10-03

2.  Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records.

Authors:  Amanda B Zheutlin; Luciana Vieira; Ryan A Shewcraft; Shilong Li; Zichen Wang; Emilio Schadt; Susan Gross; Siobhan M Dolan; Joanne Stone; Eric Schadt; Li Li
Journal:  J Am Med Inform Assoc       Date:  2022-01-12       Impact factor: 7.942
  2 in total

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