Improving individual predictions: machine learning approaches for detecting and attacking heterogeneity in schizophrenia (and other psychiatric diseases)
HG Schnack - Schizophrenia research, 2019 - Elsevier
… 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 …
since clinical heterogeneity is reduced … into two schizophrenia subgroups was found. After this …
Subtyping schizophrenia based on symptomatology and cognition using a data driven approach
… 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 …
k-means clustering, which is neutral to the type of indicator used, may help identify subgroups …
Subtyping schizophrenia patients based on patterns of structural brain alterations
… Schizophrenia syndrome is a clinically heterogeneous and … for differences in clinical
features in identified subgroups. We … Here, analyzing structural neuroimaging data with a novel …
features in identified subgroups. We … Here, analyzing structural neuroimaging data with a novel …
[HTML][HTML] Neurobiological divergence of the positive and negative schizophrenia subtypes identified on a new factor structure of psychopathology using non-negative …
… 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 …
used to derive the dictionary. … Fuzzy c-means clustering results of patient subgroups based …
Heterogeneity of emotional experience in schizophrenia: Trait affect profiles predict clinical presentation and functional outcome.
… , 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 trait emotional experience through a data-driven analysis of affective traits subgroups …
Characterizing speech heterogeneity in schizophrenia-spectrum disorders.
PP Oomen, JN de Boer, SG Brederoo… - … and clinical science, 2022 - psycnet.apa.org
… 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 …
hierarchical clustering approach indicated the presence of three diverse speech subgroups …
Cortical morphological heterogeneity of schizophrenia and its relationship with glutamatergic receptor variations
X Ouyang, Y Pan, X Chen, G Wu, Y Cheng… - European …, 2023 - cambridge.org
… ’ subgroups of patients, with higher negative symptom burden and … to observe using functioning
data from follow-up assessments. … Attacking Heterogeneity in Schizophrenia by Deriving …
data from follow-up assessments. … Attacking Heterogeneity in Schizophrenia by Deriving …
Cortical impoverishment in a stable subgroup of schizophrenia: Validation across various stages of psychosis
… 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 …
were obtained from three … In our investigation of the heterogeneity of schizophrenia, the cluster …
An investigation of psychosis subgroups with prognostic validation and exploration of genetic underpinnings: the PsyCourse study
… to validate the subgroups using longitudinal data collected in 6-… To control for diagnosis,
we investigated subgroup … scores to better understand psychosis heterogeneity. Doing so has …
we investigated subgroup … scores to better understand psychosis heterogeneity. Doing so has …
[HTML][HTML] Systematic review of functional MRI applications for psychiatric disease subtyping
L Miranda, R Paul, B Pütz, N Koutsouleris… - Frontiers in …, 2021 - frontiersin.org
… and schizophrenia were the two most frequently studied … of the underlying mechanistic
heterogeneity of these symptom-… may be too low to derive reliable and generalizable conclusions. …
heterogeneity of these symptom-… may be too low to derive reliable and generalizable conclusions. …