Automation of Pilot Incapacitation Identification

Identification of pilot incapacitation is essential for aviation safety. Currently, the information about pilot incapacitation submerges in description text of various reports of FAA. Manual searching and identification of pilot incapacitation is tedious. A computer program would automate and ease the process. This project will use FAA EIM platform and develop computer programming (Python and SQL) to auto-screen relevant databases/datasets that are available in EIM data center, with natural language processing technologies. All events relevant to pilot incapacitation recorded in the datasets will be collected and merged to a single data file. Duplicate events will be identified and removed. The pilot incapacitation events will connect to aeromedical certification when the pilot information is available. Trend analysis will be performed.