79 results about "Sub classification" patented technology

Disclosed are methods of identifying subjects with Diabetes, pre-Diabetes, or a pre-diabetic condition, methods of identifying subjects at risk for developing Diabetes, pre-Diabetes, or a pre-diabetic condition, methods of differentially diagnosing diseases associated with Diabetes, pre-Diabetes, or a pre-diabetic condition from other diseases or within sub-classifications of Diabetes, methods of evaluating the risk of progression to Diabetes, pre-Diabetes, or a pre-diabetic condition in patients, methods of evaluating the effectiveness of treatments in subjects with Diabetes, pre-Diabetes, or a pre-diabetic condition, and methods of selecting therapies for treating Diabetes, pre-Diabetes or a pre-diabetic condition, using biomarkers.

The invention discloses an intelligent robot interaction system which comprises an operation system, a knowledge base module, a robot central module, an artificial intelligence engine and a robot interaction module. The intelligent robot interaction system is characterized in that the knowledge base module constructs a basic module of the intelligent robot interaction system based on the operation system, and comprises a plurality of basic classifications, each basic classification comprises a body class, the robot central module and the artificial intelligence engine intelligently process user input and inquire the knowledge base module, and the robot interaction module collects the user input and feeds the result back to a user; each body class comprises one or more attributes, each basic classification comprises one or more sub-classifications, each sub-classification does not comprise a sub-classification body or comprises one or more sub-classification bodies, each sub-classification body comprises one or more living examples, each living example comprises one or more label attributes, and each label attribute comprises a standard question and a standard answer.

The embodiment of the invention provides a classification model training method, a classification method, a device and equipment. The method comprises the following steps: continuously training an original sub-classification model by adopting a sub-classification sample until the difference between a predicted probability value of a sub-class and a sub-classification result in the sub-classification sample meets a first training cut-off condition to obtain a sub-classification model; continuously training the original total classification model by adopting the total classification sample untilthe difference between the predicted probability value of the total category and the total classification result in the total classification sample meets a second training cut-off condition to obtaina total classification model; and continuously training the original multi-classification model by adopting the multi-classification sample until the difference between the predicted probability value of the sub-class and the sub-classification result in the multi-classification sample and the difference between the predicted probability value of the total class and the total classification result in the multi-classification sample meet a third training cut-off condition to obtain the multi-classification model. Through the embodiment of the invention, the classification accuracy of the to-be-classified information can be improved.

A method and system for querying hierarchically classified data. The system first receives a query request and then identifies classifications of the data that may satisfy the received query request. The system then displays the identified classifications. In response to selection of a displayed classification, the system displays sub-classifications when the selected classification has sub-classifications and displays the data within the classification when the selected classification has no sub-classifications. In another aspect, the system generates search results for items that are hierarchically classified. For classifications within the hierarchy of classifications, the system generates a search entry containing terms describing the items within that classification. The system then receives a search criteria. The system selects as initial search results those search entries whose terms most closely match the received search criteria. The system then adjusts the initial search results based on the hierarchy of classifications. This adjustment may include removing sub-classifications of a classification that is in the initial search results or adding a parent classification to replace multiple child classifications in the initial search results.

The present invention provides a system and method for identifying a pattern as belonging to one of a set of predetermined classes of patterns. The system comprises a plurality of classifier blocks wherein each classifier block corresponds to a distinct predetermined class of patterns and produces a mirror image of an input pattern if the input pattern belongs to the predetermined class. The system also comprises a plurality of sub-classifier blocks wherein each sub-classifier block corresponds to a distinct predetermined sub-class of a predetermined class of patterns and is coupled to a classifier block corresponding thereto for producing a mirror image of an input pattern if the pattern belongs to the predetermined sub-class. The system further comprises an input unit for capturing the pattern for identification and an output unit for displaying at least one of a mirror image of an input pattern and an identified class and sub-class of the input pattern. The system and method of the present invention may also be used as sub-modules for building large generalized learning systems.