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Machine Learning Identifies Digital Phenotyping Measures Most Relevant to Negative Symptoms in Psychotic Disorders: Implications for Clinical Trials.
Narkhede, Sayli M; Luther, Lauren; Raugh, Ian M; Knippenberg, Anna R; Esfahlani, Farnaz Zamani; Sayama, Hiroki; Cohen, Alex S; Kirkpatrick, Brian; Strauss, Gregory P.
Affiliation
  • Narkhede SM; Department of Psychology, University of Georgia, Athens, GA, USA.
  • Luther L; Department of Psychology, University of Georgia, Athens, GA, USA.
  • Raugh IM; Department of Psychology, University of Georgia, Athens, GA, USA.
  • Knippenberg AR; Department of Psychology, University of Georgia, Athens, GA, USA.
  • Esfahlani FZ; Department of Psychology, Indiana University, Bloomington, IN, USA.
  • Sayama H; Department of Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY, USA.
  • Cohen AS; Department of Psychology, Louisiana State University, Baton Rouge, LA, USA.
  • Kirkpatrick B; Department of Psychiatry, University of Nevada, Reno School of Medicine, Reno, NV, USA.
  • Strauss GP; Department of Psychology, University of Georgia, Athens, GA, USA.
Schizophr Bull ; 48(2): 425-436, 2022 03 01.
Article in En | MEDLINE | ID: mdl-34915570

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenotype / Psychotic Disorders / Weights and Measures / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Schizophr Bull Year: 2022 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenotype / Psychotic Disorders / Weights and Measures / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Schizophr Bull Year: 2022 Document type: Article Affiliation country: Estados Unidos