Domain knowledge input process Sample Clauses

Domain knowledge input process. The system also provides a graphical user interface (see section Knowledge Loading Component for detail) for the user to customize domain knowledge, such as an controlled vocabulary, which may contain terminology of attributes and structural properties of documents. The terminology includes lists of values and their normalization mappings. For example, Disease terminology includes “Diabetes Mellitus" with variations “DM” and “Diabetes”. It also defines inductions. For example, taking “Insulin” or “Metformin” indicates having Diabetes Mellitus. Structural properties provide positive and negative contextual information for giving terms. For example, to extract medications taken by patients, the “Allergies” section is a negative context and medicine names in the section will be skipped. Controlled vocabularies can be a powerful tool to support data extraction: it can be used to locate sentences and chunks of possible values, and to perform normalization for extracted values, discussed in Chapter 5. The domain knowledge is incorporated directly into the decision model that may be further enhanced by online learning.