Abstract:
A method, a system and a computer program product for searching a knowledge base and finding top-k meaningful paths for different concept pairs input by a user in linked open data utilizing the degree of association between concepts as the weight of the two concepts in a knowledge graph and to find the top-k shortest path as meaningful paths. A large corpus is used to train the association of different concept pairs. A deep learning based framework is used to learn a concept vector to represent the concept and the cosine similarity of the concept vector and an input concept vector indicating the degree of association of the vectors as the weight of these two concepts in the knowledge graph. The top-k meaningful paths are determined based on the weights and the shortest paths are provided for use by users as the meaningful paths.
Abstract:
Method, apparatus, and hospital information system for prompting medication safety. The method includes: extracting identifier information and execution time of a prescribed drug from a treatment information database; according to the identifier information of the drug, extracting a record related to the drug from an information database; for each contributor factor of the prescribed drug, determining an unsafe time interval corresponding to the contributor factor of the drug; extracting identifier information and execution time of a target factor from the treatment information database; and, in response to the target factor matching with a contributor factor of the drug and at least a part of the execution time of the target factor falling within the unsafe time interval corresponding to the matched contributor factor, prompting medication safety in the complete drug taking lifetime. Through adopting the present invention, internal data process can be optimized and medication safety can be improved.
Abstract:
The present invention relates to text analysis, and discloses a text representation method. Aspects include identifying concepts in the text by using a knowledge base and determining relationship between the concepts and generating a concept graph by using the relationship between the concepts. Aspects also include determining connected components of the concept graph; calculating weight of the connected components and determining the concepts representing the text according to the weight of the connected components. By using correlation between concepts in a knowledge base and according to connected component theory of a graph, finds out a set of concepts which best represents subject of the text, and removes concepts irrelevant to the subject, thus improving accuracy of text representation and reducing noise.
Abstract:
A computer implemented method for processing a plurality of medical indication conditions on a computer that includes a processor communicatively coupled to a memory includes obtaining a plurality of predetermined indication conditions which relate to a plurality of parameters, and forming a plurality of conditional segments based on respective values of the plurality of parameters defined in the plurality of predetermined indication conditions. Each conditional segment of the plurality of conditional segments corresponds to a combination of different value ranges of respective parameters of the plurality of parameters. The plurality of predetermined indication conditions includes a measurement item, a reference standard, a time period, a measurement condition, and a measurement manner.
Abstract:
There is provided a system and method for providing privacy viewing of an output from a electronic display, including a first polarizer configured to polarize a display signal at a first polarization angle; a second polarizer configured to polarize a noise signal at a second polarization angle orthogonal to the first polarization angle; a combiner configured to combine the polarized display signal and the polarized noise signal, and a third polarizer configured to receive the output of the electronic display and polarize the combined polarized display and noise signal at the first polarization angle. The system includes first and second polarization rotators configured to rotate the first and second polarization angles of the combined polarized display and noise signals prior to being output by the electronic display and prior to being received by the third polarizer.
Abstract:
A method, a computer program product, and a computer system for making a decision of long step and healthy credit limit enhancement. A computer constructs a Markov decision process graph which includes nodes and edges, wherein the nodes represent respective states of one or more customer segments and the edges represent paths based on historical data. The computer applies long step actions for a respective one of the one or more customer segments, wherein the long step actions enhance more than one credit limit levels. The computer calculates gained values of the long step actions. The computer chooses an optimal long step action from the long step actions, wherein the optimal long step action has a maximum gained value.
Abstract:
The present invention relates to text analysis, and discloses a text representation method. Aspects include identifying concepts in the text by using a knowledge base and determining relationship between the concepts and generating a concept graph by using the relationship between the concepts. Aspects also include determining connected components of the concept graph; calculating weight of the connected components and determining the concepts representing the text according to the weight of the connected components. By using correlation between concepts in a knowledge base and according to connected component theory of a graph, finds out a set of concepts which best represents subject of the text, and removes concepts irrelevant to the subject, thus improving accuracy of text representation and reducing noise.
Abstract:
Method and apparatus for processing medical data. The method for processing indication conditions includes obtaining a plurality of predetermined indication conditions which relate to a plurality of parameters and forming a plurality of conditional segments based on respective values of the plurality of parameters, which respectively correspond to a plurality of combinations of value ranges of the plurality of parameters. The method for processing patient data includes obtaining distribution information of the patient data in the plurality of conditional segments formed above and determining a matching relationship of patient data with at least one indication condition. The apparatuses correspond to the methods. Based on this, a matching relation of patient data with the plurality of indication conditions is determined directly based on distribution of patient data in respective conditional segments, which reduces/avoids chances of inefficiency caused by multiple data acquisitions, conversions, and analysis and improves processing efficiency of patient data.