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Academic Journal

Simulation-based design optimization for statistical power: Utilizing machine learning

Subjects: Institute of Psychology; 150 Psychology; simulation

  • Source: Zimmer, Felix; Debelak, Rudolf (2023). Simulation-based design optimization for statistical power: Utilizing machine learning.

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Academic Journal

Suicidal Offenders and Non-Offenders with Schizophrenia Spectrum Disorders: A Retrospective Evaluation of Distinguishing Factors Using Machine Learning

Subjects: Clinic for Psychiatry; Psychotherapy; and Psychosomatics

  • Source: Machetanz, Lena; Lau, Steffen; Habermeyer, Elmar; Kirchebner, Johannes (2023). Suicidal Offenders and Non-Offenders with Schizophrenia Spectrum Disorders: A Retrospective Evaluation of Distinguishing

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Academic Journal

Drivers of COVID-19 protest across localities in Israel: a machine-learning approach

Subjects: Institute of Political Science; Digital Society Initiative; 320 Political science

  • Source: Schlager, Nina; Donnay, Karsten; Kim, Hyunjung; Bhavnani, Ravi (2023). Drivers of COVID-19 protest across localities in Israel: a machine-

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Academic Journal

Predicting Participation Willingness in Ecological Momentary Assessment of General Population Health and Behavior: Machine Learning Study

Subjects: Institute of Sociology; Jacobs Center for Productive Youth Development; 370 Education

  • Source: Murray, Aja; Ushakova, Anastasia; Zhu, Xinxin; Yang, Yi; Xiao, Zhuoni; Brown, Ruth; Speyer, Lydia; Ribeaud, Denis; Eisner, Manuel (2023). Predicting Participation Willingness in Ecological Momentary

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Academic Journal

Editorial: Machine learning in research on violence and general offending

Subjects: Clinic for Psychiatry; Psychotherapy; and Psychosomatics

  • Source: Kirchebner, Johannes; Habermeyer, Elmar; Machetanz, Lena; Abrol, Anees (2023). Editorial: Machine learning in research on violence and

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Academic Journal

Predicting and comparing the long-term impact of lifestyle interventions on individuals with eating disorders in active population: a machine learning evaluation

Subjects: Institute of General Practice; 610 Medicine & health

  • Source: Irandoust, Khadijeh; Parsakia, Kamdin; Estifa, Ali; Zoormand, Gholamreza; Knechtle, Beat; Rosemann, Thomas; Weiss, Katja; Taheri, Morteza (2024). Predicting and comparing the long-term impact of

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Academic Journal

White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group

Subjects: Department of Child and Adolescent Psychiatry; Neuroscience Center Zurich; 610 Medicine & health

  • Source: Kim, Bo-Gyeom; Kim, Gakyung; Abe, Yoshinari; Alonso, Pino; Ameis, Stephanie; Anticevic, Alan; Arnold, Paul D; Balachander, Srinivas; Banaj, Nerisa; Bargalló, Nuria; Batistuzzo, Marcelo C; Benedetti,

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Academic Journal

Using machine learning and data enrichment in the selection of roads for small-scale maps

Subjects: Institute of Geography; Zurich Center for Linguistics; 910 Geography & travel

  • Source: Karsznia, Izabela; Adolf, Albert; Leyk, Stefan; Weibel, Robert (2024). Using machine learning and data enrichment in the selection of

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Academic Journal

Using machine learning to determine the nationalities of the fastest 100-mile ultra-marathoners and identify top racing events

Subjects: Institute of General Practice; 610 Medicine & health

  • Source: Knechtle, Beat; Weiss, Katja; Valero, David; Villiger, Elias; Nikolaidis, Pantelis T; Andrade, Marilia Santos; Scheer, Volker; Cuk, Ivan; Gajda, Robert; Thuany, Mabliny (2024). Using

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