Half-time controls Half-time control Nils Hentati Isacsson

07-09-2020 2:30 pm Add to iCal
Karolinska University Hospital, Huddinge Lecture hall Ålö, M48

Title: Machine learning to facilitate Internet-based Cognitive Behavioural Therapy 

Main supervisor 

Associate Professor Viktor Kaldo, Department of Clinical Neuroscience, Karolinska Institutet

Co-supervisor

Professor Magnus Boman, School of electrical engineering and computer science, KTH Royal Institute of Technology

Med.Dr. Erik Forsell, Department of Clinical Neuroscience, Karolinska Institutet

Half-time Board

Associate Professor Brjánn Ljótsson, Department of Clinical Neuroscience, Karolinska Institutet

Associate Professor Josephine Sullivan, School of electrical engineering and computer science, KTH Royal Institute of Technology 

Professor Hugo Hesser, School of Law, Psychology and Social Work, Örebro University

Brief description

There has recently been an exponential growth into research on prediction in the psychological and psychiatric fields. While these predictions have the potential to enhance various aspects of psychological treatment it is also a research area with many pitfalls. This half-time will try to highlight the difficulties and possible amendments in conducting research into prediction in psychological treatment utilizing a regular care internet psychiatric setting. This in a framework of trying to enhance and facilitate psychological treatment. 

 

Contact

Nils Hentati Isacsson PhD Student