APPLICATION OF SUPPORT VECTOR MACHINES TO THE DETECTION OF CHRONIC PAIN
APPLICATION OF SUPPORT VECTOR MACHINES TO THE DETECTION OF CHRONIC PAIN
批准号:
8362906
负责人:
Hoameng Ung
金额:
$1.3万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-04-01 至 2012-03-31
关键词:
Annual ReportsAtrophicChronicDetectionFundingGrantKnowledgeMachine LearningMagnetic ResonanceMagnetic Resonance ImagingMeasurementNational Center for Research ResourcesPainPain ClinicsPain NaturePatient Self-ReportPatientsPrincipal InvestigatorReadingResearchResearch InfrastructureResourcesSourceTechnologyUnited States National Institutes of HealthVisitabstractingchronic paincostgray matter
中文摘要
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英文摘要
This subproject is one of many research subprojects utilizing the resources
provided by a Center grant funded by NIH/NCRR. Primary support for the subproject
and the subproject's principal investigator may have been provided by other sources,
including other NIH sources. The Total Cost listed for the subproject likely
represents the estimated amount of Center infrastructure utilized by the subproject,
not direct funding provided by the NCRR grant to the subproject or subproject staff.
The subjective nature of pain makes an objective measurement difficult to produce. If such a measurement is possible,
then this knowledge would assist in the management of patients whose self report of pain is either unavailable or called
into question. Past studies have demonstrated that chronic pain is associated with gray matter (GM) atrophy, detectable by
magnetic resonance imaging.
To read about other projects ongoing at the Lucas Center, please visit http://rsl.stanford.edu/ (Lucas Annual Report and
ISMRM 2011 Abstracts)
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