Clinical Safety Incident Taxonomy Performance on C4.5 Decision Tree and Random Forest...Health Informatics Conference, August 12-14, 2019, Melbourne, Australia
The paper applies an artificial intelligence centered method to classify 12 clinical safety incident (CSI) classes. The paper aims to establish a taxonomy that classifies the CSI reports into their correct classes automatically and with high accuracy. The study investigates feasibility of applying t...
| Published in: | Studies in Health Technology & Informatics Vol. 266; pp. 83 - 89 |
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| Main Authors: | , , |
| Format: | algorithm proceedings research tables/charts Journal Article |
| Published: |
Sage Publications Inc.
2019
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| Online Access: | View this record in EBSCOhost |