2019
Identifying psychosis spectrum disorder from experience sampling data using machine learning approaches
Stamate D, Katrinecz A, Stahl D, Verhagen S, Delespaul P, van Os J, Guloksuz S. Identifying psychosis spectrum disorder from experience sampling data using machine learning approaches. Schizophrenia Research 2019, 209: 156-163. PMID: 31104913, DOI: 10.1016/j.schres.2019.04.028.Peer-Reviewed Original Research
2018
Recurrent Neural Networks in Mobile Sampling and Intervention
Koppe G, Guloksuz S, Reininghaus U, Durstewitz D. Recurrent Neural Networks in Mobile Sampling and Intervention. Schizophrenia Bulletin 2018, 45: 272-276. PMID: 30496527, PMCID: PMC6403085, DOI: 10.1093/schbul/sby171.Peer-Reviewed Original ResearchMeSH KeywordsEcological Momentary AssessmentHumansMachine LearningNeural Networks, ComputerPsychotic DisordersTelemedicineConceptsRecurrent neural networkEcological momentary interventionsEveryday life contextPsychological processesMomentary interventionsData modalitiesDifferent data modalitiesSocial outcomesSocioenvironmental factorsFuture researchMultiple data modalitiesNeural networkTreatment of psychosisOnline feedbackIndividual trajectoriesPsychosisDaily lifeContext-specific interventionsInterventionEmotionsCognitionExperienceStatistical machineContextFitness trackers