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Learning machines in Internet-delivered psychological treatment
KTH Royal Instute of Technology, Sweden.
RISE, Sweden.
Karolinska Institutet, Sweden;Region Stockholm, Sweden.
RISE, Sweden.
Vise andre og tillknytning
2019 (engelsk)Inngår i: Progress in Artificial Intelligence, ISSN 2192-6352, Vol. 8, nr 4, s. 475-485Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

A learning machine, in the form of a gating network that governs a finite number of different machine learning methods, is described at the conceptual level with examples of concrete prediction subtasks. A historical data set with data from over 5000 patients in Internet-based psychological treatment will be used to equip healthcare staff with decision support for questions pertaining to ongoing and future cases in clinical care for depression, social anxiety, and panic disorder. The organizational knowledge graph is used to inform the weight adjustment of the gating network and for routing subtasks to the different methods employed locally for prediction. The result is an operational model for assisting therapists in their clinical work, about to be subjected to validation in a clinical trial.

sted, utgiver, år, opplag, sider
Springer, 2019. Vol. 8, nr 4, s. 475-485
Emneord [en]
Learning machine, Machine learning, Ensemble learning, Gating network, Internet-based psychological treatment
HSV kategori
Forskningsprogram
Samhällsvetenskap, Psykologi; Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:lnu:diva-90071DOI: 10.1007/s13748-019-00192-0ISI: 000493607900005OAI: oai:DiVA.org:lnu-90071DiVA, id: diva2:1371176
Tilgjengelig fra: 2019-11-19 Laget: 2019-11-19 Sist oppdatert: 2020-02-25bibliografisk kontrollert

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