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Predicting personalized process-outcome associations in psychotherapy using machine learning approaches-A demonstration.
Psychother Res. 2020 Mar;30(3):300-309. doi: 10.1080/10503307.2019.1597994. Epub 2019 Mar 26.
Psychother Res. 2020.
PMID: 30913982
For whom should psychotherapy focus on problem coping? A machine learning algorithm for treatment personalization.
Gómez Penedo JM, Schwartz B, Giesemann J, Rubel JA, Deisenhofer AK, Lutz W.
Gómez Penedo JM, et al. Among authors: giesemann j.
Psychother Res. 2022 Feb;32(2):151-164. doi: 10.1080/10503307.2021.1930242. Epub 2021 May 25.
Psychother Res. 2022.
PMID: 34034627
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Prospective evaluation of a clinical decision support system in psychological therapy.
Lutz W, Deisenhofer AK, Rubel J, Bennemann B, Giesemann J, Poster K, Schwartz B.
Lutz W, et al. Among authors: giesemann j.
J Consult Clin Psychol. 2022 Jan;90(1):90-106. doi: 10.1037/ccp0000642. Epub 2021 Jun 24.
J Consult Clin Psychol. 2022.
PMID: 34166000
Clinical Trial.
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Predicting patients who will drop out of out-patient psychotherapy using machine learning algorithms.
Bennemann B, Schwartz B, Giesemann J, Lutz W.
Bennemann B, et al. Among authors: giesemann j.
Br J Psychiatry. 2022 Feb 18:1-10. doi: 10.1192/bjp.2022.17. Online ahead of print.
Br J Psychiatry. 2022.
PMID: 35177132
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Predicting dropout from psychological treatment using different machine learning algorithms, resampling methods, and sample sizes.
Giesemann J, Delgadillo J, Schwartz B, Bennemann B, Lutz W.
Giesemann J, et al.
Psychother Res. 2023 Jul;33(6):683-695. doi: 10.1080/10503307.2022.2161432. Epub 2023 Jan 20.
Psychother Res. 2023.
PMID: 36669124
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An investigation of treatment return after psychological therapy for depression and anxiety.
Lorimer B, Kellett S, Giesemann J, Lutz W, Delgadillo J.
Lorimer B, et al. Among authors: giesemann j.
Behav Cogn Psychother. 2024 Mar;52(2):149-162. doi: 10.1017/S1352465823000322. Epub 2023 Aug 11.
Behav Cogn Psychother. 2024.
PMID: 37563726
Free article.
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