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Systematic method for classifying multiple congenital anomaly cases in electronic health records.

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Title: Systematic method for classifying multiple congenital anomaly cases in electronic health records.
Authors: Brokamp E; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN., Miller-Fleming T; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN., Scalici A; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN., Hooker G; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN., Hamid R; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN., Velez Edwards D; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN., Chung WK; Department of Pediatrics, Boston Children's Hospital, Boston, MA., Luo Y; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL., Kiryluk K; Department of Medicine, Columbia University, New York, NY., Limidi NA; Department of Neurology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL., Khankari NK; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN., Cox NJ; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN., Bastarache L; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN., Shuey MM; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN. Electronic address: megan.m.shuey.1@vumc.org.
Source: Genetics in medicine : official journal of the American College of Medical Genetics [Genet Med] 2025 Jun; Vol. 27 (6), pp. 101415. Date of Electronic Publication: 2025 Mar 18.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 9815831 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1530-0366 (Electronic) Linking ISSN: 10983600 NLM ISO Abbreviation: Genet Med Subsets: MEDLINE
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              Text: 2025 Jun
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