Machine learning applications in psychotherapy research

Prediction of outcome or diagnoses from intake data or assessing the importance of variables as either risk factors or protective factors are fundamental tasks in psychotherapy research, in order to help clinicians and researchers to evaluate and improve treatments. With regard to data analytic asse...

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Dettagli Bibliografici
Autore principale: Schröder-Pfeifer, Paul (Autore)
Natura: Book/Monograph Tesi
Lingua:inglese
Pubblicazione: Heidelberg [2021?]
DOI:10.11588/heidok.00031214
Soggetti:
Accesso online:Resolving-System, kostenfrei: https://nbn-resolving.de/urn:nbn:de:bsz:16-heidok-312143
Resolving-System, kostenfrei: http://dx.doi.org/10.11588/heidok.00031214
Verlag, kostenfrei, Volltext: http://www.ub.uni-heidelberg.de/archiv/31214
Resolving-System: https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-312143
Langzeitarchivierung Nationalbibliothek: https://d-nb.info/1252465424/34
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Note sull'autore:presented by Paul Schröder-Pfeifer ; advisor: Prof. Dr. phil. Svenja Taubner
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Machine learning applications in psychotherapy research di Schröder-Pfeifer, Paul (Autore)

2020

Testo
Book/Monograph Tesi