Individualized prediction of illness course at the first psychotic episode: a support vector machine MRI study.
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Neuroimaging biomarkers to predict treatment response in schizophrenia: the end of 30 years of solitude?Multivariate pattern recognition for diagnosis and prognosis in clinical neuroimaging: state of the art, current challenges and future trendsTowards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject levelMagnetic resonance imaging and the prediction of outcome in first-episode schizophrenia: a review of current evidence and directions for future researchIndividual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data.Does neuroimaging have a role in predicting outcomes in psychosis?Examination of the predictive value of structural magnetic resonance scans in bipolar disorder: a pattern classification approachMultivariate neuroanatomical classification of cognitive subtypes in schizophrenia: a support vector machine learning approach.Clinical prediction from structural brain MRI scans: a large-scale empirical study.Dynamic change of global and local information processing in propofol-induced loss and recovery of consciousness.Detecting the psychosis prodrome across high-risk populations using neuroanatomical biomarkers.The use of clinical and biological characteristics to predict outcome following First Episode Psychosis.Using structural MRI to identify individuals at genetic risk for bipolar disorders: a 2-cohort, machine learning study.Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers.Investigating the Predictive Value of Functional MRI to Appetitive and Aversive Stimuli: A Pattern Classification ApproachClassifying individuals at high-risk for psychosis based on functional brain activity during working memory processing.Cortical folding and the potential for prognostic neuroimaging in schizophreniaA clinical risk stratification tool for predicting treatment resistance in major depressive disorderMultimodal MRI-Based Classification of Trauma Survivors with and without Post-Traumatic Stress Disorder.Clinical utility of machine-learning approaches in schizophrenia: improving diagnostic confidence for translational neuroimagingSupervised, Multivariate, Whole-Brain Reduction Did Not Help to Achieve High Classification Performance in Schizophrenia ResearchDissecting psychiatric spectrum disorders by generative embedding.White matter integrity as a predictor of response to treatment in first episode psychosis.Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients.Detecting Neuroimaging Biomarkers for Psychiatric Disorders: Sample Size Matters.Machine learning approaches to personalize early prediction of asthma exacerbations.An imaging-based approach predicts clinical outcomes in prostate cancer through a novel support vector machine classification.Connectivity of the anterior insula differentiates participants with first-episode schizophrenia spectrum disorders from controls: a machine-learning study.Multivariate decoding of brain images using ordinal regression.Classifying adolescent attention-deficit/hyperactivity disorder (ADHD) based on functional and structural imaging.Identifying multimodal signatures associated with symptom clusters: the example of the IMAGEMEND project.Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model.The promise of neuroanatomical markers in psychosis.Characterization of post-traumatic stress disorder using resting-state fMRI with a multi-level parametric classification approach.Combined structural and functional patterns discriminating upper limb motor disability in multiple sclerosis using multivariate approaches.Heterogeneity and Homogeneity of Regional Brain Structure in Schizophrenia: A Meta-analysis.Support vector machine classifier for prediction of the metastasis of colorectal cancer.Predictors of functioning in people suffering from first-episode psychosis 1 year into entering early intervention service in Hong Kong.Neural markers of negative symptom outcomes in distributed working memory brain activity of antipsychotic-naive schizophrenia patients.Machine learning classification of first-episode schizophrenia spectrum disorders and controls using whole brain white matter fractional anisotropy.
P2860
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P2860
Individualized prediction of illness course at the first psychotic episode: a support vector machine MRI study.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Individualized prediction of i ...... port vector machine MRI study.
@ast
Individualized prediction of i ...... port vector machine MRI study.
@en
type
label
Individualized prediction of i ...... port vector machine MRI study.
@ast
Individualized prediction of i ...... port vector machine MRI study.
@en
prefLabel
Individualized prediction of i ...... port vector machine MRI study.
@ast
Individualized prediction of i ...... port vector machine MRI study.
@en
P2093
P2860
P50
P1476
Individualized prediction of i ...... port vector machine MRI study.
@en
P2093
A A T S Reinders
J Mourao-Miranda
K D Morgan
R M Murray
V Rocha-Rego
P2860
P304
P356
10.1017/S0033291711002005
P407
P577
2011-11-07T00:00:00Z