United States Department of Transportation
i
Improving Computational Usability of Unstructured Pilot Medical Certification Data
-
2023-06-01
[PDF-571.86 KB]
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
DOI:
-
Resource Type:
-
Geographical Coverage:
-
Corporate Publisher:
-
Abstract:Current Federal Aviation Administration's Office of Aerospace Medicine (AAM) operations include scanning paper documents received from various third‑party medical providers to support individual pilot medical certification decision-related matters. These operations lack analytic tools, resulting in a time-intensive effort by subject matter experts to manually search through document sets to find relevant information. MITRE applied human language technologies to a sample set of AAM documents containing unstructured pilot medical certification data. MITRE demonstrated that third-party documents received and scanned by AAM could be automatically classified through a combination of computer vision and human language technologies; demonstrated that these documents can have their content extracted with sufficient accuracy to enable fundamental automation and human support tasks including summarization, search, and de-identification; identified aspects of the documents that present risk to future systems development; and produced a prototypical integrated document processing software pipeline ca tion, and indexing to support basic search as an initial application.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
