Learning machines in Internet-delivered psychological treatment

• 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

SAMHÄLLSVETENSKAP  -- Psykologi (hsv//swe)

SOCIAL SCIENCES  -- Psychology (hsv//eng)

Keyword

Ensemble learning

Gating network

Internet-based psychological treatment

Learning machine

Machine learning

Decision support systems

Learning systems

Conceptual levels

Decision supports

Learning machines

Machine learning methods

Operational model

Organizational knowledge

Psychological treatments

Patient treatment

Psychology

Data- och informationsvetenskap

Publication and Content Type

ref (subject category)

art (subject category)