Data processing method and apparatus for clinical decision support system
View Patent ↗Provided is a data processing method for clinical decision support system. The data processing method provides an algorithm capable of performing parsing based on an Ontology technique and automatically updating rule database in order to reduce time and labor overloads accompanied by update of the rule database. According to an aspect, the data processing method includes inferring input data having a natural language format based on an Ontology technique to recognize at least one input rule included in the input data; inferring storage data having a natural language format and stored in rule database based on the Ontology technique to recognize at least one storage rule associated with the input rule from the storage data; comparing the input rule to the storage rule using a Self Evolutionary Rule-base algorithm; and updating the storage data stored in the rule database to the input data according to the result of the comparison.
1. A data processing method for a clinical decision support system, the method comprising:
inferring input data having a natural language format based on an Ontology technique to recognize an input rule coming from the input data;
inferring storage data having a natural language format and stored in rule database based on the Ontology technique to recognize a storage rule associated with the input rule from the storage data;
comparing the input rule to the storage rule using a Self Evolutionary Rule-base algorithm; and
updating the storage data stored in the rule database to the input data according to the result of the comparison,
wherein each of the input rule and the storage rule is composed of an item and a detail, and in response to a result of comparing indicating that at least one item included in the input rule is a new item that is not identical to an item included in the storage rule, the updating of the storage data comprises adding the input rule including the new item to the rule database.
2. The data processing method of claim 1 , wherein in response to the result of the comparing indicates that at least one item included in the input rule is identical to an item included in the storage rule and a detail of the item of the input rule is different from a detail of the item of the storage rule, the updating of the storage data comprises substituting the detail of the item of the storage rule by the detail of the item of the input rule.
3. The data processing method of claim 1 , wherein the storage data is stored in the rule database using a generic storage structure.
4. A data processing apparatus comprising:
an input unit configured to receive input data having a natural language format;
a rule database configured to store storage data having the natural language format, wherein the storage data is updated based on the input data;
a parser configured to infer the input data and the storage data having the natural language format to recognize an input rule included in the input data a storage rule included in the storage data;
an algorithm calculator configured to apply a Self Evolutionary Rule-base algorithm to compare the input rule to the storage rule, and to update the storage data stored in the rule database according to the result of the comparison,
wherein each of the input rule and the storage rule is composed of an item and a detail, and in response to a result of comparing indicating that at least one item included in the input rule is a new item that is not identical to an item included in the storage rule, the updating of the storage data comprises adding the input rule including the new item to the rule database.
5. The data processing apparatus of claim 4 , wherein the rule database stores the storage data in the natural language format using a generic storage structure.
6. The data processing apparatus of claim 4 , wherein the parser uses an Ontology technique to infer the input data having the natural language format and the storage data stored in the rule database, thereby recognizing the input rule and the storage rule.
7. The data processing apparatus of claim 4 , wherein, in response to the result of the comparison indicates that at least one item included in the input rule is identical to an item included in the storage rule and a detail of the item of the input rule is different from a detail of the item of the storage rule, the algorithm calculator substitutes the detail of the item of the storage rule by the detail of the item of the input rule.