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Paper Details

Deep learning predicts extreme preterm birth from electronic health records.
J Biomed Inform
36
2019
EPB, extreme preterm birth, hydroxychloroquine sulfate, hypertensive disorder, newborn, patients, preterm, recurrent neural networks, short cervical length, systemic lupus erythematosus
Algorithms, Datasets as Topic, Deep Learning, Electronic Health Records, Humans, Infant, Extremely Premature, Infant, Newborn, International Classification of Diseases
Author NameAffiliation
Cheng GaoVanderbilt University Medical Center
Sarah S OsmundsonVanderbilt University Medical Center
Digna R Velez EdwardsVanderbilt University Medical Center
Gretchen P JacksonVanderbilt University Medical Center, USA Evaluation Research Center
Bradley A MalinVanderbilt University Medical Center, Vanderbilt University
You ChenVanderbilt University Medical Center
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Datasets

Release 1.2