Developmental Language Disorder

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APT-DLD
Version 1.0, July 2020

Automated Phenotyping Tool for identifying DLD cases in health-systems data (APT-DLD) is an algorithm for classifying/identifying developmental language disorder cases in electronic health records system data. APT-DLD can be used to:
1. Identify pediatric DLD cases from electronic health record systems using ICD9 and ICD10 codes
2. Study epidemiology and population-level charateristics of DLD from EHRs

The How-To guide for using APT-DLD is provided in the files listed below.

We welcome users to contact Rachana Nitin (rachana.nitin17@gmail.com) or Reyna Gordon (reyna.gordon@alumni.usc.edu) at Vanderbilt University Medical Center with questions.

Details on the development and validation of the algorithm are provided in our Open Access paper:
Walters, Nitin, Margulis, Boorom, Gustavson, Bush, Davis, Below, Cox, Camarata, & Gordon (2020). Automated Phenotyping Tool for Identifying Developmental Language Disorder Cases in Health Systems Data (APT-DLD): a new research algorithm for deployment in large-scale electronic health record systems. Journal of Speech, Language & Hearing Research. Sep 15;63(9):3019-3035. https://doi.org/10.1044/2020_JSLHR-19-00397 

Phenotype ID: 
797
Status: 
Final
Do Not List on the Collaboration Phenotypes List
Type of Phenotype: 
Disease or Syndrome
Other Trait
Phenotype Attributes: 
ICD 10 Codes
ICD 9 Codes
Contact Author: 
Reyna Gordon
Files: 
BroadSearch_prepareforAPT-DLD.zip
APT-DLD_implementationR.zip
APT-DLD_implementationKNIME.zip
APT-DLD_filters.zip
How To Use APT-DLD_R_KNIME_July282020.pdf
DLD Manual Chart Review rubric from Walters, Nitin et al 2020 JSLHR.pdf
Institution: 
Vanderbilt University Medical Center
Date Created: 
Monday, July 27, 2020
URLs: 
https://www.vumc.org/music-cognition-lab/
Age: 
Pediatric
Race: 
Arctic (Siberian, Eskimo, etc.)
Black (African American, West African, Ethiopian, etc.)
Caucasian (European)
Caucasian (North African, Middle East, Other)
East Asian (Mongol, Tibetan, Korean, Japanese, Thai, etc.)
Indigenous Australian
Mixed Race
Native American
Other Race
Pacific Islander (Polynesian, Micronesian, Hawaiian, etc.)
Gender: 
Female
Male
Ethnicity: 
Hispanic
Non-hispanic
Owner Phenotyping Groups: 
Vanderbilt - Music Cognition Lab
 
 

Suggested Citation

Vanderbilt University Medical Center. Developmental Language Disorder. PheKB; 2020 Available from: https://phekb.org/phenotype/797

PubMed References

32791019

    Comments

    APT-DLD
    Version 1.0, July 2020

    Automated Phenotyping Tool for identifying DLD cases in health-systems data (APT-DLD) is an algorithm for classifying/identifying developmental language disorder cases in electronic health records system data.
    APT-DLD is publicly available for non-commercial usage.  Details on the development and validation of the algorithm are provided in Walters, Nitin, Margulis, Boorom, Gustavson, Bush, Davis, Below, Cox, Camarata, & Gordon (2020). Automated Phenotyping Tool for Identifying Developmental Language Disorder Cases in Health Systems Data (APT-DLD): a new research algorithm for deployment in large-scale electronic health record systems. Journal of Speech, Language & Hearing Research

    APT-DLD Algorithm materials and User Guide can be accessed on PheKB at
    https://phekb.org/phenotype/developmental-language-disorder

    APT-DLD is protected by a creative commons license (CC BY-NC for Attribution-NonCommercial)
    Users must cite Walters, Nitin et al., 2020, JSLHR.

    Unauthorized distribution and alteration of APT-DLD not explicitly covered by CC BY-NC are not allowed.

    We welcome users to contact Rachana Nitin (rachana.nitin17@gmail.com) or Reyna Gordon (reyna.gordon@alumni.usc.edu) at Vanderbilt University Medical Center with questions.