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Learning from the Experience of Doctors: Automated Diagnosis of Appendicitis Based on Clinical Notes
The objective of this work is to develop an automated diagnosis system that is able to predict the probability of appendicitis given a free-text emergency department (ED) note and additional structured information (e. g., lab test results).
Automated Anonymization as Spelling Variant Detection
Personal health information (PHI) (such as name and identification number) needs to be removed so that patients cannot be identified.
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