Fig. 1: Disease-Specific Medical Ontology Learning (DiSMOL) Framework. | Communications Medicine

Fig. 1: Disease-Specific Medical Ontology Learning (DiSMOL) Framework.

From: Medical ontology learning framework to investigate daytime impairment in insomnia disorder and treatment effects

Fig. 1

The disease-specific language model is trained on physician notes. Known symptoms, as informed by insomnia experts or existing instruments form the simple ontology, which is used as an input to the model to find contextually similar words. The resulting enriched ontology is then validated by an expert panel. Subsequently, the validated enriched ontology is utilized to transform physician notes into structured data, enabling the investigation of the disease burden. 

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