Department of Economics and Business Economics

Prediction of autism risk from family medical history data using machine learning: a national cohort study from Denmark

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Linda Ejlskov
  • Jesper Wulff
  • Amy E Kalkbrenner, Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin.
  • ,
  • Christine Ladd-Acosta, Johns Hopkins Bloomberg School of Public Health, Denmark
  • Margaret Daniele Fallin, John Hopkins Bloomberg School of Public Health
  • ,
  • Brian K Lee, Department of Epidemiology and Biostatistics, A.J. Drexel Autism Institute, Drexel University School of Public Health, Philadelphia, PA, USA., Denmark
  • Diana Schendel
Original languageEnglish
JournalBiological Psychiatry: Global Open Science
Publication statusE-pub ahead of print - 2021

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ID: 215770948