… of schizophrenia might emerge from data-driven analyses of negative and distress symptom
… the 2 PANSS dimensions were analyzed in the full schizophrenia sample using the 2-step …

… with factor analysis of clinical (CASH) data to obtain a split of … related to symptom profiles,
since clinical heterogeneity is reduced … into two schizophrenia subgroups was found. After this …

… Schizophrenia is a highly heterogeneous … symptom severity in addition. We believe that
k-means clustering, which is neutral to the type of indicator used, may help identify subgroups …

… Schizophrenia syndrome is a clinically heterogeneous and … for differences in clinical
features in identified subgroups. We … Here, analyzing structural neuroimaging data with a novel …

… data, this work further disentangles the heterogeneity in … analyzed in the same dataset
used to derive the dictionary. … Fuzzy c-means clustering results of patient subgroups based …

… , and whether those subgroups differed in their symptom presentation and … heterogeneity
of trait emotional experience through a data-driven analysis of affective traits subgroups …

… of SSD, speech markers are an unexplored source of symptom heterogeneity … A data-driven
hierarchical clustering approach indicated the presence of three diverse speech subgroups …

… broad themes of subgroups, often deriving a “deficit” or severe negative … the heterogeneity
of schizophrenia and may reveal … Data from 125 COS patients were used in this study (Table 1)…

… ’ subgroups of patients, with higher negative symptom burden and … to observe using functioning
data from follow-up assessments. … Attacking Heterogeneity in Schizophrenia by Deriving …

… Deriving neurobiological subgroups without considering … Data used in the present study
were obtained from three … In our investigation of the heterogeneity of schizophrenia, the cluster …