首页|Karolinska Institute Reports Findings in Panic Disorder (Dataset size versus hom ogeneity: A machine learning study on pooling intervention data in e-mental heal th dropout predictions)
Karolinska Institute Reports Findings in Panic Disorder (Dataset size versus hom ogeneity: A machine learning study on pooling intervention data in e-mental heal th dropout predictions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Panic Disorder is the subject of a report. According to news reporting originating from Stockholm, Swe den, by NewsRx correspondents, research stated, "This study proposes a way of in creasing dataset sizes for machine learning tasks in Internet-based Cognitive Be havioral Therapy through pooling interventions. To this end, it (1) examines sim ilarities in user behavior and symptom data among online interventions for patie nts with depression, social anxiety, and panic disorder and (2) explores whether these similarities suffice to allow for pooling the data together, resulting in more training data when prediction intervention dropout." Financial supporters for this research include Vetenskapsradet, Avtal om Lakarut bildning och Forskning Agreement, Familjen Erling-Perssons Stiftelse, Deutsche F orschungsgemeinschaft, Fredrik och Ingrid Thurings Stiftelse.
StockholmSwedenEuropeCyborgsEmer ging TechnologiesHealth and MedicineMachine LearningMental HealthMental Health Diseases and ConditionsPanic Disorder
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