DEVELOPMENT AND PERFORMANCE OF TEXT-MINING ALGORITHMS TO EXTRACT SOCIOECONOMIC STATUS FROM DE-IDENTIFIED ELECTRONIC HEALTH RECORDS

Lignende værker

• DEVELOPMENT OF A DATA-MINING ALGORITHM TO IDENTIFY AGES AT REPRODUCTIVE MILESTONES IN ELECTRONIC MEDICAL RECORDS
  af: MALINOWSKI, JENNIFER, et al.
  Udgivet: (2014)
• Searching in the Dark: Phenotyping Diabetic Retinopathy in a De-Identified Electronic Medical Record Sample of African Americans
  af: Restrepo, Nicole A., et al.
  Udgivet: (2016)
• A Social Determinant of Health May Modify Genetic Associations for Blood Pressure: Evidence From a SNP by Education Interaction in an African American Population
  af: Hollister, Brittany M., et al.
  Udgivet: (2019)
• Extracting Primary Open-Angle Glaucoma from Electronic Medical Records for Genetic Association Studies
  af: Restrepo, Nicole A., et al.
  Udgivet: (2015)
• Local genetic ancestry in CDKN2B-AS1 is associated with primary open-angle glaucoma in an African American cohort extracted from de-identified electronic health records
  af: Restrepo, Nicole A., et al.
  Udgivet: (2018)