Medical ontologies for machine learning and decision support

Details Medical ontologies for machine learning and decision support Medical ontologies for machine learning and decision support

2011-03-01

2011-03-01

Holmes, Michael (Department: 2129)

Data processing: artificial intelligence

Machine learning

Reexamination Certificate

active

07899764

ABSTRACT:
A medical ontology may be used for computer assisted clinical decision support. Multi-level and/or semantically grouped medical ontology is incorporated into a machine learning algorithm. The resulting machine-learnt algorithm outputs information to assist in clinical decisions. For example, a patient record is input to the algorithm. Based on the incorporated medical ontology, similarities are aggregated in different groups. An aggregate similarity of at least one group is a function of an aggregate similarity of at least another group. One or more similar patients and/or outcomes are identified based on similarity. Probability based outputs may be provided.

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