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Improving feature extraction from medical documents with structured information
We are building a machine learning algorithm to be able to better understand the unstructured clinical notes. This will help the medical coder and auditor to quickly navigate the clinical notes and locate the text that corresponding to the codes. Reduce the chance of missing labels and mis-labeling in the coding review process.
Faculty Supervisor:
Michael Brudno
Student:
Partner:
Semantic Health Inc
Discipline:
Computer science
Sector:
Professional, scientific and technical services
University:
University of Toronto
Program:
Accelerate
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