Finding Intimacy Online: A Machine Learning Analysis of Predictors of Success.

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Bibliographic Details
Title: Finding Intimacy Online: A Machine Learning Analysis of Predictors of Success.
Authors: Vera Cruz G; Department of Psychology, University of Picardie Jules Verne, Amiens, France., Aboujaoude E; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA., Rochat L; Addiction Division, Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland., Bianchi-Demichelli F; Sexual Medicine Consultation, Department of Obstetrics and Gynecology, University Hospitals of Lausanne, Lausanne, Switzerland.; Center for Preventive & Integrative Medicine, Clinique des Grangettes and Center for Internal Medicine and Its Specialties, Clinique La Colline, Hirslanden Group, Geneva, Switzerland., Khazaal Y; Addiction Medicine, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland.; Research Centre, University Institute of Mental Health at Montreal and Department of Psychiatry and Addiction Montreal University, Montreal, Canada.
Source: Cyberpsychology, behavior and social networking [Cyberpsychol Behav Soc Netw] 2023 Aug; Vol. 26 (8), pp. 604-612. Date of Electronic Publication: 2023 Jun 23.
Publication Type: Journal Article
Journal Info: Publisher: Mary Ann Liebert, Inc Country of Publication: United States NLM ID: 101528721 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2152-2723 (Electronic) Linking ISSN: 21522715 NLM ISO Abbreviation: Cyberpsychol Behav Soc Netw Subsets: MEDLINE
Database: MEDLINE Ultimate
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