2024
In vivo neuropil density from anatomical MRI and machine learning
Akif A, Staib L, Herman P, Rothman D, Yu Y, Hyder F. In vivo neuropil density from anatomical MRI and machine learning. Cerebral Cortex 2024, 34: bhae200. PMID: 38771239, PMCID: PMC11107380, DOI: 10.1093/cercor/bhae200.Peer-Reviewed Original ResearchConceptsMagnetic resonance imagingSynaptic densityNeuropil densityCellular densityArtificial neural networkNeural networkPositron emission tomographyAnatomical magnetic resonance imagingHealthy subjectsSynaptic activityMRI scansMachine learning algorithmsBrain's energy budgetEmission tomographyIn vivo MRI scansResonance imagingTissue cellularityLearning algorithmsDiffusion magnetic resonance imagingMachine learningMicroscopic interpretationInterpretation of functional neuroimaging dataIndividual predictionsSubjects
2020
Commentary: Identifying individualized predictions of response in ADHD pharmacotherapy – a commentary on Rodrigues et al. (2020)
Farhat LC, Bloch MH. Commentary: Identifying individualized predictions of response in ADHD pharmacotherapy – a commentary on Rodrigues et al. (2020). Journal Of Child Psychology And Psychiatry 2020, 62: 701-703. PMID: 33368287, DOI: 10.1111/jcpp.13374.Peer-Reviewed Original ResearchConceptsContext of autism spectrum disorderAttention-deficit hyperactivity disorder symptomsHyperactivity disorder symptomsAutism spectrum disorderContext of autismEvidence baseDisorder symptomsIntellectual disabilityTic disordersADHD pharmacotherapySpectrum disorderADHDDisordersIndividual predictionsMeta-analysesEvidence of treatmentPredictive of responseAripiprazoleRisperidoneAtomoxetineMethylphenidatePotential avenuesGuanfacineAutismPharmacotherapy
2012
Calibrating predictive model estimates to support personalized medicine
Jiang X, Osl M, Kim J, Ohno-Machado L. Calibrating predictive model estimates to support personalized medicine. Journal Of The American Medical Informatics Association 2012, 19: 263-274. PMID: 21984587, PMCID: PMC3277613, DOI: 10.1136/amiajnl-2011-000291.Peer-Reviewed Original ResearchConceptsReal-world medical classification problemsMedical classification problemsClassification problemPredictive model estimatesComputational complexityACP algorithmIsotonic regressionPredictive modelTerms of areaImportant performance measuresCalibration methodAdaptive techniqueCalculation of CIsAdaptive calibrationSquared errorIndividual predictionsPerformance measuresFit testInformationNew calibration methodCurrent methods
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