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Machine learning models using mobile game play accurately classify children with autism.
Deveau, Nicholas; Washington, Peter; Leblanc, Emilie; Husic, Arman; Dunlap, Kaitlyn; Penev, Yordan; Kline, Aaron; Mutlu, Onur Cezmi; Wall, Dennis P.
Affiliation
  • Deveau N; Biomedical Data Science, Stanford University, Stanford, 94305, California, United States.
  • Washington P; Bioengineering, Stanford University, Stanford, 94305, California, United States.
  • Leblanc E; Pediatrics, Stanford University, Stanford, 94305, California, United States.
  • Husic A; Pediatrics, Stanford University, Stanford, 94305, California, United States.
  • Dunlap K; Pediatrics, Stanford University, Stanford, 94305, California, United States.
  • Penev Y; Pediatrics, Stanford University, Stanford, 94305, California, United States.
  • Kline A; Pediatrics, Stanford University, Stanford, 94305, California, United States.
  • Mutlu OC; Electrical Engineering, Stanford University, Stanford, 94305, California, United States.
  • Wall DP; Biomedical Data Science, Stanford University, Stanford, 94305, California, United States.
Intell Based Med ; 6: 100057, 2022.
Article in En | MEDLINE | ID: mdl-36035501
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Intell Based Med Year: 2022 Document type: Article Affiliation country: Estados Unidos Country of publication: Países Bajos
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Intell Based Med Year: 2022 Document type: Article Affiliation country: Estados Unidos Country of publication: Países Bajos