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  2. Biomedical knowledge representation

Biomedical knowledge representation

Coalescing data into a useful form that can be reasoned with requires new ways of organization supporting efficient querying/discovery with deeper semantics. Biomedical knowledge representation is concerned with the data models, ontologies, and formalizations that structure data into useful information and insights.


current projects

  • Blue digital data
    Making biomedical ML reproducible
  • Joint decision making
    Data-driven diagnostic decision support
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DEPARTMENTAL PROGRAMS

Integrated Diagnostics (IDx)
Computational Diagnostics (CDx)

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Department of Radiological Sciences
David Geffen School of Medicine
Bioengineering Department
Henry Samueli School of Engineering

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UCLA CTSI
UCLA Institute for Precision Health
Center for SMART Health
Center for Domain-Specific Computing
Scalable Analytics Institute (ScAI)

TRAINING PROGRAMS

GPB: Medical Informatics Home Area
NIH T32: iDISCOVER
NIH T32: Medical Imaging Informatics
NSF NRT: Social Data Science
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COPYRIGHT © UCLA Medical Imaging Informatics. ALL RIGHTS RESERVED. | Site by Pendari