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Abstract:This workbook "Medical Conditions Analysis for Electronic Healthcare Records" (DOI: https://doi.org/10.21949/1528558)supplements the MITRE document "Integrating Commercial Healthcare Datasets for Aeromedical Risk Analyses" (DOI: https://doi.org/10.21949/158556).
This workbook addresses eight different medical conditions that can lead to pilot incapacitation. Each page focuses on one condition and lists information that could be found in a healthcare dataset to help predict the onset of that condition through the use of a machine learning algorithm. The information listed ranges from diagnoses, tests, and vitals that are collected in electronic health records. The MITRE team has included the relevant ICD‐9, ICD‐10, LOINC, and/or SNOMED codes to help readily identify the information in the data, as well as the normal ranges the data should fall between (where applicable). This document was produced with the objective of aiding machine learning algorithms in medical risk forecasting for these specific conditions.
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