Abstract: According to at least one implementation, a method includes obtaining a query at a wearable device and identifying context associated with the query, the context comprising a set of images captured by the wearable device. The method further includes generating at least one search from the query and the context and obtaining at least one result to the at least one search. The method also generates a response to the query based on at least one result and provides the response to a wearable device user.

Abstract: A method and system for processing a design drawing, an electronic device and a storage medium are disclosed. The method includes: acquiring, from a target application, first coordinate data of a first endpoint, second coordinate data of a second endpoint, first radius data of a first node and second radius data of a second node; obtaining first circle-center coordinate data of the first node according to the first coordinate data, the second coordinate data and the first radius data; obtaining second circle-center coordinate data of the second node according to the first coordinate data, the second coordinate data and the second radius data; and performing a first connection operation on a lofting line segment according to the first circle-center coordinate data and the first coordinate data, and performing a second connection operation on the lofting line segment according to the second circle-center coordinate data and the second coordinate data.

Abstract: According to at least one implementation, a method includes obtaining a query at a wearable device and identifying context associated with the query, the context comprising a set of images captured by the wearable device. The method further includes generating at least one search from the query and the context and obtaining at least one result to the at least one search. The method also generates a response to the query based on at least one result and provides the response to a wearable device user.

Abstract: Disclosed is a method and an apparatus NER-orientated Chinese clinical text data augmentation, and unannotated data and annotated data of label linearization processing through data preprocessing. A concealed part is predicted based on retained information by using the unannotated data and concealing part of information in text, and meanwhile an entity word-level discrimination task is introduced for pre-training of a span-based language model; and a plurality of decoding mechanisms are introduced in a fine-tune stage, a relationship between a text vector and text data is obtained based on the pre-trained span-based language model, linearized data with entity labels is converted into the text vector, and text generation is performed through forward decoding and reverse decoding in a prediction stage of a text generation model to obtain enhanced data with annotation information.

Abstract: Disclosed is a method and an apparatus NER-orientated Chinese clinical text data augmentation, and unannotated data and annotated data of label linearization processing through data preprocessing. A concealed part is predicted based on retained information by using the unannotated data and concealing part of information in text, and meanwhile an entity word-level discrimination task is introduced for pre-training of a span-based language model; and a plurality of decoding mechanisms are introduced in a fine-tune stage, a relationship between a text vector and text data is obtained based on the pre-trained span-based language model, linearized data with entity labels is converted into the text vector, and text generation is performed through forward decoding and reverse decoding in a prediction stage of a text generation model to obtain enhanced data with annotation information.

Abstract: Provided is a cross-departmental decision support system for early diagnosis of a chronic kidney disease based on knowledge graph, which comprises a patient information model building module, a patient information model library storage module, a knowledge graph association module, a knowledge graph inference module and a decision support feedback module. According to the present application, by constructing a patient information model and utilizing an OMOP CDM standard terminology system, patient electronic medical record data is constructed into a patient information model with unified concept coding and unified semantic structure; making full use the advantages of semantic technology in data interactivity and scalability, so that the system has better adaptability and scalability to heterogeneous data in different hospitals.

Abstract: Provided is a cross-departmental decision support system for early diagnosis of a chronic kidney disease based on knowledge graph, which comprises a patient information model building module, a patient information model library storage module, a knowledge graph association module, a knowledge graph inference module and a decision support feedback module. According to the present application, by constructing a patient information model and utilizing an OMOP CDM standard terminology system, patient electronic medical record data is constructed into a patient information model with unified concept coding and unified semantic structure; making full use the advantages of semantic technology in data interactivity and scalability, so that the system has better adaptability and scalability to heterogeneous data in different hospitals.