Machine learning based generation of ontology for structural and functional mapping
AssigneeThe Board of Trustees of the Leland Stanford Junior University
InventorsAmit Etkin, Elizabeth Beam
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AssigneeThe Board of Trustees of the Leland Stanford Junior University
InventorsAmit Etkin, Elizabeth Beam
Estimating the term…
A method may include applying, to a corpus of data, a first machine learning technique to identify candidate domains of an ontology mapping brain structure to mental function. The corpus of data may include textual data describing a plurality of mental functions and spatial data corresponding to a plurality of brain structures. A second machine technique may be applied to optimize a quantity of domains included in the ontology and/or a quantity of mental function terms included in each domain. The ontology may be applied to phenotype an electronic medical record and predict a clinical outcome for a patient associated with the electronic medical record. Related systems and articles of manufacture, including computer program products, are also provided.
A computer-implemented method, comprising:
A system, comprising:
The system of claim 18, wherein an optimal quantity of domains in the ontology and/or an optimal quantity of mental function terms included in each of the plurality of domains are selected to maximize a performance of the forward inference model and/or a performance of the reverse inference model.
A non-transitory computer readable medium storing instructions, which when executed by at least one data processor, result in operations comprising:
Dependencies are inferred from the claim text.