Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review.
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Biomarkers in autismBuilding a Science of Individual Differences from fMRI.Adolescent neurobiological susceptibility to social contextLessons of ALS imaging: Pitfalls and future directions - A critical reviewMachine learning approaches: from theory to application in schizophreniaDiagnosing autism in neurobiological research studiesMultivariate 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 levelMultivariate classification of blood oxygen level-dependent FMRI data with diagnostic intention: a clinical perspectiveBeyond Lumping and Splitting: A Review of Computational Approaches for Stratifying Psychiatric DisordersAn integrative proteomics and interaction network-based classifier for prostate cancer diagnosisA review of feature reduction techniques in neuroimagingIdentifying Individuals at High Risk of Psychosis: Predictive Utility of Support Vector Machine using Structural and Functional MRI Data.Classifying human audiometric phenotypes of age-related hearing loss from animal modelsCombined analysis of sMRI and fMRI imaging data provides accurate disease markers for hearing impairment.Using genetic, cognitive and multi-modal neuroimaging data to identify ultra-high-risk and first-episode psychosis at the individual level.Predictive classification of pediatric bipolar disorder using atlas-based diffusion weighted imaging and support vector machines.Neuroimaging-based biomarkers in psychiatry: clinical opportunities of a paradigm shift.Effects of stimulants on brain function in attention-deficit/hyperactivity disorder: a systematic review and meta-analysis.Annual research review: Current limitations and future directions in MRI studies of child- and adult-onset developmental psychopathologies.Bayesian multi-task learning for decoding multi-subject neuroimaging data.Imaging the ADHD brain: disorder-specificity, medication effects and clinical translation.Default mode network as a potential biomarker of chemotherapy-related brain injuryDiagnostic classification of specific phobia subtypes using structural MRI data: a machine-learning approach.An empirical comparison of different approaches for combining multimodal neuroimaging data with support vector machineUnravelling socio-motor biomarkers in schizophrenia.Toward Probabilistic Diagnosis and Understanding of Depression Based on Functional MRI Data Analysis with Logistic Group LASSO.Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration.Early warning for human mental sub-health based on fMRI data analysis: an example from a seafarers' resting-data study.The maternal brain and its plasticity in humans.Evolving Evidence for the Value of Neuroimaging Methods and Biological Markers in Subjects Categorized with Subjective Cognitive Decline.Linking Essential Tremor to the Cerebellum-Neuroimaging Evidence.Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Automatic Classification on Multi-Modal MRI Data for Diagnosis of the Postural Instability and Gait Difficulty Subtype of Parkinson's Disease.Imaging Pain.Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data.Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism.Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry.Neuroimaging chronic pain: what have we learned and where are we going?Connectivity Changes in Parkinson's Disease.
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P2860
Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review.
description
article científic
@ca
article scientifique
@fr
articol științific
@ro
articolo scientifico
@it
artigo científico
@gl
artigo científico
@pt
artigo científico
@pt-br
artikel ilmiah
@id
artikull shkencor
@sq
artículo científico
@es
name
Using Support Vector Machine t ...... ic disease: a critical review.
@en
Using Support Vector Machine t ...... ic disease: a critical review.
@nl
type
label
Using Support Vector Machine t ...... ic disease: a critical review.
@en
Using Support Vector Machine t ...... ic disease: a critical review.
@nl
prefLabel
Using Support Vector Machine t ...... ic disease: a critical review.
@en
Using Support Vector Machine t ...... ic disease: a critical review.
@nl
P50
P921
P1476
Using Support Vector Machine t ...... ric disease: a critical review
@en
P2093
Andrea Mechelli
William Pettersson-Yeo
P304
P356
10.1016/J.NEUBIOREV.2012.01.004
P577
2012-01-28T00:00:00Z