Machine Learning in Psychiatry for Dummies
Many clinical psychiatrists have probably heard of Machine Learning, read about its possibilities to advance our knowledge and capabilities to predict diagnoses or treatment success. Yet, machine learning remains a daunting and mysterious technique. This workshop plans to change that!
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During this two-day workshop you will be guided through the basics and fundamentals of Machine Learning, learn about its many applications, its inherent limitations, and finally learn to apply this to your own research as well. The goal of our workshop is that you walk away with the basic information and curiosity to start to apply Machine Learning to your own research.
To this end the organizers have invited several renowned international speakers and researchers from Belgian universities specializing in this topic, such as Nikolaous Koutsouleris, Tim Hahn, Giovanni Briganti and many more. Topics include the basics, possibilities of Machine Learning and practical applications, learning how to do the analysis, setting up a Machine Learning study, limitations of the technique and more.
They also provide the opportunity for researchers in psychiatry of the Belgian universities to get to know each other and each other’s research. They will organize a poster session where everyone can present their own research. It doesn’t matter if this research utilises Machine Learning or not. We see it as an opportunity to learn, network and possibly set up future collaborations. We’ll also organize an after-hours drink and diner on the first evening to continue in a more informal atmosphere.
Organizers
- Victor Mazereel, Klinische Psychiatrie, KU Leuven
- Nicolas Leenaerts, Mind-bodyonderzoeker, KU Leuven
- Maarten Laroy, Neuropsychatrie, KU Leuven
- Thomas Vande Casteele, Neuropsychiatrie, KU Leuven
- Kaat Hebbrecht, Onderzoeksgroepen Sinaps – CAPRI, UAntwerpen
- Mitchel Kappen, UGent
- Gert Vanhollebeke, UGent
Teachers / speakers
Nicolas Leenaerts
Psychiatry Resident at Sint-Kamillus Bierbeek and the penitentiary at Merksplas - Researcher at KULeuven investigating how stress leads to binge behavior in bulimia nervosa and alcohol use disorder
Maarten Laroy
I'm an experimental psychologist doing research in the field of neuropsychiatry. As a member of the Center for Neuropsychiatry at the KU Leuven, my work is mostly devoted to investigating the mechanisms behind neurostimulation and neuromodulation techniques such as electroconvulsive therapy (ECT). My research project aims to study the neuroplastic effects of ECT via the combination of PET-MR imaging.
Thomas Vande Casteele
Thomas is Co-founder and CEO at Awell. He is passionate about how software can help people perform at the very best of their abilities.
Kaat Hebbrecht
Dr. Kaat Hebbrecht is psychiater en psychotherapeut. Zij is verantwoordelijk voor de afdeling intensieve psychiatrische zorg (MIC). Hiernaast houdt zij raadplegingen voor mensen met een bipolaire aandoening en is zij werkzaam op het Academisch Centrum voor ECT en neuromodulatie (AcCent) van het UPC KU Leuven.
Zij is lid van de Vlaamse Vereniging voor Psychiatrie (VVP) en de Belgische Beroepsvereniging voor Psychiatrie.
Dr. Hebbrecht doet wetenschappelijk onderzoek naar stemmingsstoornissen (depressie en bipolaire stoornis).
Mitchel Kappen
Mitchel Kappen is PhD student bij het Ghep (Ghent Experimental Psychiatry) Lab en doet onderzoek naar nieuwe manieren om stress te detecteren, zoals uit spraak en video en het voorkomen en detecteren van terugval na succesvolle behandeling van depressie. Hij en zijn team gebruiken deze nieuwe technieken om stress te detecteren in de populatie en daarnaast om specifiek het premenstrueel syndroom te onderzoeken. Zo hebben zij een grootschalig online onderzoek uitgevoerd naar hoe dit syndroom en de anticonceptiepil je stress en emotionele reacties kunnen beïnvloeden en lopen er nog verschillende onderzoeken naar hoe stress je spraak verandert, zowel hoe je klinkt als de woorden die je gebruikt.
Gert Vanhollebeke
PhD in NeuroScience and Psychiatry at Ghent University
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