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AI-driven adaptive treatment strategies in internet-delivered CBT
Kaldo, V.
Karolinska Inst, Ctr Psychiat Res, Clin Neurosci, Stockholm, Sweden..
Isacsson, N.
Karolinska Inst, Ctr Psychiat Res, Clin Neurosci, Stockholm, Sweden..
Forsell, E.
Karolinska Inst, Ctr Psychiat Res, Clin Neurosci, Stockholm, Sweden..
Bjurner, P.
Karolinska Inst, Ctr Psychiat Res, Clin Neurosci, Stockholm, Sweden..
Ben Abdesslem, F.
Boman, Magnus
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Software and Computer systems, SCS.
ORCID iD:
0000-0001-7949-1815
Show others and affiliations
2021 (English)
In:
European psychiatry, ISSN 0924-9338, E-ISSN 1778-3585, Vol. 64, p. S20-S20
Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
Cambridge University Press , 2021. Vol. 64, p. S20-S20
Keywords [en]
Adaptive Treatment Strategy, machine learning, prediction, Internet CBT
National Category
Applied Psychology
Identifiers
URN:
urn:nbn:se:kth:diva-303375
DOI:
10.1192/j.eurpsy.2021.75
ISI:
000693665700042
OAI: oai:DiVA.org:kth-303375
DiVA, id:
diva2:1603387
Note
QC 20211015
Available from:
2021-10-15
Created:
2021-10-15
Last updated:
2022-06-25
Bibliographically approved
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