首页|HealthPartners Institute Reports Findings in Schizophrenia (Trajectories and pre dictors of response to social cognition training in people with schizophrenia:A proof-of-concept machine learning study)
HealthPartners Institute Reports Findings in Schizophrenia (Trajectories and pre dictors of response to social cognition training in people with schizophrenia:A proof-of-concept machine learning study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Mental Health Diseases and Conditions - Schizophrenia is the subject of a report.According to news re porting originating from Minneapolis,Minnesota,by NewsRx correspondents,resea rch stated,"Social cognition training (SCT) can improve social cognition defici ts in schizophrenia.However,little is known about patterns of response to SCT or individual characteristics that predict response." Our news editors obtained a quote from the research from HealthPartners Institut e,"76 adults with schizophrenia randomized to receive 8-12 weeks of remotely-de livered SCT were included in this analysis.Social cognition was measured with a composite of six assessments.Latent class growth analyses identified trajector ies of social cognitive response to SCT.Random forest and logistic regression m odels were trained to predict membership in the trajectory group that showed imp rovement from baseline measures including symptoms,functioning,motivation,and cognition.Five trajectory groups were identified:Group 1 (29 %) began with slightly above average social cognition,and this ability significant ly improved with SCT.Group 2 (9 %) had baseline social cognition a pproximately one standard deviation above the sample mean and did not improve wi th training.Groups 3 (18 %) and 4 (36 %) began with a verage to slightly belowaverage social cognition and showed non-significant tre nds toward improvement.Group 5 (8 %) began with social cognition a pproximately one standard deviation below the sample mean,and experienced signi ficant deterioration in social cognition.The random forest model had the best p erformance,predicting Group 1 membership with an area under the curve of 0.73 ( SD 0.24; 95 % CI [0.51-0.87] ).Findings suggest that there are distinct patterns of response to SCT in schiz ophrenia and that those with slightly above average social cognition at baseline may be most likely to experience gains."
MinneapolisMinnesotaUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesHealth and MedicineM achine LearningMental Health Diseases and ConditionsPsychiatrySchizophreni a
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