Abstract: The invention provides a method for automatically filling a digital report form with relevant user data. The method includes obtaining a digital report form and extracting an input data model from the digital report form. A query is then generated based on the input data model. A digital user record is obtained, relevant user data is identified in the digital user record based on the query and extracted. The digital report form is then filled based on the relevant user data.

Abstract: Extracting entities from a document with a hierarchical entity graph of entities. Entity definitions and entity recognition definitions are customized by a user and provided. The configuration information is utilized to generate (905) an entity graph, which is then utilized to parse one or more documents. In some implementations, the resulting parse tree may be utilized, in conjunction with user feedback, to generate one or more training instances for a machine learning model assigned to one or more of the custom nodes as an entity recognition definition. Parsing of the resulting tree may be performed with a lazy parsing methodology, with only the portions of interest to the user being identified in the document.

Abstract: The invention relates to intent classification of questions provided to a question answering, QA, system. A proposed method identifies negative emotion of the user, and, responsive to identifying negative emotion of the user, identifies an incorrect answer provided to the user. The incorrect answer and its associated question is analyzed to determine whether incorrect classification of the associated question's intent is responsible 5 for the incorrect answer. Either an intent classification algorithm of the QA system or a QA algorithm selection process of the QA system is then modified accordingly.

Abstract: Provided is a user side load response method based on adjustment and control on temperature of load clusters. The user side load response method includes: performing thermodynamic modeling on a temperature control load to obtain a temperature control model in direct load control; constructing a mapping quantity to describe the change state of a temperature control load relay switch; obtaining adjustable capacity of the temperature control load through the mapping quantity; introducing temperature control load clusters to solve the problem that control precision cannot satisfy condition requirements; and finally calculating the influence of each load cluster in different load cluster control schemes on comfort degree.

Abstract: A method for organizing medical record data based on classification of a set of medical records in accordance with an indexing intervention event identified for each record, associated with a medical intervention. The method is based on extracting for each of a plurality of medical records one or more candidate intervention events, and then mapping these to a dataset (or ontology) of standard intervention event names (indexing intervention events) in order to identify a closest matching indexing event for each extracted intervention event. The mapping is based on breaking down each extracted intervention event into a set of characterizing attributes of particular domains or types and then comparing these with corresponding attribute sets for each of the indexing events in the dataset. A closest match is found, and each medical record is classified according to the closest matching indexing event. Data is then aggregated based on the classifications, and also based on information about a user, e.g.

Abstract: Extracting entities from a document with a hierarchical entity graph of entities. Entity definitions and entity recognition definitions are customized by a user and provided. The configuration information is utilized to generate (905) an entity graph, which is then utilized to parse one or more documents. In some implementations, the resulting parse tree may be utilized, in conjunction with user feedback, to generate one or more training instances for a machine learning model assigned to one or more of the custom nodes as an entity recognition definition. Parsing of the resulting tree may be performed with a lazy parsing methodology, with only the portions of interest to the user being identified in the document.

Abstract: Techniques include receiving a treatment plan for a subject, including a body outline, a position on a couch, and, for each gantry angle, a couch angle an isocenter and target volumes to which a radiation source is directed. A perspective transform matrix is based on projected coordinates of reference points from a digital image projector onto each different plane perpendicular to a beam from the radiation source at different distances. Two-dimensional spot positions for a gantry and couch angle are determined based on the treatment plan. A group of spot positions are determined based on a common distance from the radiation source to the body outline. Illuminated spots on a projection image are determined based on the group and the perspective transform matrix closest to the common distance. The projection image is projected from the image projector onto the subject on the couch.

Abstract: Presented are concepts for detecting recurrence of a medical condition in a subject previously treated for the medical condition. One such concept comprises, using natural language processing, extracting information from a data set comprising information relating to the subject prior to and/or during the subject's previous treatment for the medical condition. The extracted information is reformulated into structured data based on a standardized model. A data retrieval request comprising a structured query adhering to a template is obtained and, based on the structured query of the data retrieval request, data is retrieved from the structured data.

Abstract: Provided is a user side load response method based on adjustment and control on temperature of load clusters. The user side load response method includes: performing thermodynamic modeling on a temperature control load to obtain a temperature control model in direct load control; constructing a mapping quantity to describe the change state of a temperature control load relay switch; obtaining adjustable capacity of the temperature control load through the mapping quantity; introducing temperature control load clusters to solve the problem that control precision cannot satisfy condition requirements; and finally calculating the influence of each load cluster in different load cluster control schemes on comfort degree.

Abstract: Embodiments of the present invention relate to clinical knowledge driven healthcare scheduling. There is disclosed a method of healthcare scheduling, comprising receiving a request to generate an appointment for a target user, the request at least containing identification of the target user; obtaining clinical knowledge associated with the target user by accessing a knowledge base, the clinical knowledge at least indicating time constraints and at least one required resource for the appointment; generating a group of prioritized candidate appointments by processing the request at least partially based on the obtained clinical knowledge, each of the candidate appointments being represented at least by appointment time and a priority; and selecting at least one recommended appointment from the group of prioritized candidate appointments based on availability of the at least one required resource. Corresponding apparatus, system and computer program product are also disclosed.