Evaluation of standard and semantically-augmented distance metrics for neurology patients

Evaluation of standard and semantically-augmented distance metrics for neurology patients

Abstract Background Patient distances can be calculated based on signs and symptoms derived from an ontological hierarchy. There is controversy as to whether patient distance metrics that consider the semantic similarity between concepts can outperform standard patient distance metrics that are agno...

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Bibliographic Details
Main Authors: Daniel B. Hier, Jonathan Kopel, Steven U. Brint, Donald C. Wunsch, Gayla R. Olbricht, Sima Azizi, Blaine Allen
Format: Article
Language:English
Published: BMC 2020-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Patient distances
Semantic augmentation
Ontologies
Machine learning
Patient clustering
Patient classification
Online Access:http://link.springer.com/article/10.1186/s12911-020-01217-8

Internet

http://link.springer.com/article/10.1186/s12911-020-01217-8

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