Abstract: The disclosure related to transient sensitivity analysis. A computer implemented method includes receiving a description of the circuit, performing a first pass transient simulation of the circuit using the time steps and the plurality of circuit parameters, includes determining time steps for performing sensitivity analysis of the circuit, recording circuit states at each time step for each node of the circuit based on the first pass transient simulation in a first database, where the circuit states includes a first set of circuit solutions, performing a second pass sensitivity simulation of the circuit using the time steps, variations of the plurality of circuit parameters and the first database, recording a second set of circuit solutions due to variations of the plurality of circuit parameters, and determining deviations of between the first set of circuit solutions and the second set of circuit solutions.

Abstract: The disclosure provides a method, system, and apparatus for automatically adding ICD code, and a medium. The method for automatically adding an ICD (International Classification of Diseases) code includes: obtaining medical record data; obtaining a vector representation of a respective medical record element through the medical record data; obtaining a vector representation of a respective disease in ICD; obtaining, based on the vector representation of the respective medical record element and the vector representation of the respective disease in ICD, a vector representation of medical record; obtaining, based on the vector representation of the medical record, a respective probability of adding a respective disease code in ICD to the medical record; and obtaining, based on the respective probability, an indication of whether to automatically add the respective ICD code in ICD corresponding to the respective probability to the medical record.

Abstract: An intelligent reminding method, an intelligent reminding device and an electronic apparatus are provided in the present disclosure. The method includes: acquiring first information input by a user; determining a user-intention template matching the first information, wherein the user-intention template comprises a plurality of fields; and judging whether the first information include contents corresponding to all the fields of the user-intention template.

Abstract: The present invention is related to an information extraction method. The information extraction method may comprise providing r semantic relationships, acquiring entity pairs corresponding to the semantic relationships, acquiring first instances based on the entity pairs, and eliminating instances that do not have the semantic relationships from the first instances to obtain second instances. r is a positive integer. Each of the entity pairs contains a pair of named entities. The first instances are sentences containing the entity pairs.

Abstract: A call hold method includes receiving a call hold request sent from a peer end; returning a 200 OK message to the peer end; receiving a user instruction for sending a call hold request to the peer end; determining whether an acknowledgement message based on the call hold request of the peer end is received from the peer end; and processing, based on an acknowledgement message determining result, the user instruction for sending a call hold request to the peer end. Accordingly, when a user has a call hold request, a mobile terminal first determines whether a procedure based on the call hold request of the peer end is completed at the peer end, and then determines to process the call hold request of the user, thereby preventing a call drop.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for automatically discovering medical knowledge. In this method, one or more linking concepts having a semantic relation with a starting concept are obtained from a medical literature library. The starting concept represents a disease. Next, one or more target concepts having a semantic relation with the one or more linking concepts are obtained from the medical literature library, and an association degree of each of the one or more target concepts with respect to the starting concept is calculated. The association degree indicates a probability that the target concept can cope with the starting concept. Further, the one or more target concepts are sorted according to the calculated association degrees. In this method, explainable target concepts can be obtained by using semantic analysis, and these target concepts are sorted to increase a possibility of discovering useful medical knowledge.

Abstract: The present application discloses an information extraction method. The method includes extracting a plurality of candidate entities and a plurality of candidate attributes from a target corpus based on a plurality of entity seeds of one or more target types in an entity seeds set; establishing a plurality of correlations between the plurality of candidate attributes and a plurality of entities including the plurality of candidate entities and the plurality of entity seeds; and selecting one or more target entities from the plurality of entities and one or more target attributes from the plurality of candidate attributes based on the plurality of correlations.

Abstract: A triage dialogue method, a device and a system are provided. The triage dialogue method includes: receiving triage dialogue content; dividing the triage dialogue content into a series of dialogue features, and generating dialogue feature vectors in one-to-one correspondence with the dialogue features; inputting the dialogue feature vectors into an encoder, and generating an intermediate representation vector through the encoder; determining whether the triage task is successfully completed according to the intermediate representation vector; and adjusting the triage dialogue policy according to the determination result of the triage task.

Abstract: A call hold method includes receiving a call hold request sent from a peer end; returning a 200 OK message to the peer end; receiving a user instruction for sending a call hold request to the peer end; determining whether an acknowledgement message based on the call hold request of the peer end is received from the peer end; and processing, based on an acknowledgement message determining result, the user instruction for sending a call hold request to the peer end. Accordingly, when a user has a call hold request, a mobile terminal first determines whether a procedure based on the call hold request of the peer end is completed at the peer end, and then determines to process the call hold request of the user, thereby preventing a call drop.

Abstract: The disclosure provides a method and a system for automatically discovering an inference rule, a medical knowledge database and a retrieval method. The method includes: acquiring a relation matrix for each medical relation, the relation matrix representing a relationship between vectors of the medical entities having the medical relation; and acquiring the inference rules based on the relation matrices for the plurality of medical relations, each inference rule including a first medical relation, a second medical relation and a third medical relation, the inference rule representing that the third medical relation is inferred from the first medical relation and the second medical relation.

Abstract: The present application discloses an information extraction method. The method includes extracting a plurality of candidate entities and a plurality of candidate attributes from a target corpus based on a plurality of entity seeds of one or more target types in an entity seeds set; establishing a plurality of correlations between the plurality of candidate attributes and a plurality of entities including the plurality of candidate entities and the plurality of entity seeds; and selecting one or more target entities from the plurality of entities and one or more target attributes from the plurality of candidate attributes based on the plurality of correlations.

Abstract: A lung-sound signal processing method, device and computer-readable storage medium. The lung-sound processing method includes: obtaining a lung sound signal; decomposing the lung sound signal, to obtain a crackle-sound component and a respiration-sound component; obtaining an inspiratory-phase period based on the respiration-sound component; extracting a crackle-sound signal located in the inspiratory-phase period from the crackle-sound component; and obtaining at least one feature parameter according to the crackle-sound signal.

Abstract: The present disclosure provides a medical data analysis method and device. The method comprises locating a semantic subspace of the subject in a medical data set by taking the physical parameter as a feature; and analyzing the probability P1 of the subject being in the semantic subspace that the subject belongs to by judging the semantic consistency of the semantic subspace where the physical parameter of the subject exists. In addition, it is also possible to analyze the probability P2 of the subject being in the node that the subject belongs to based on the evidence transference score of the physical parameter of the subject on the medical knowledge graph. P=?×P1+(1??)×P2 The probability P of the subject being in the semantic subspace or node that the subject belongs to can be determined by P=?×P1+(1+?)×P2, wherein ? is a reconciling parameter, 0<?<1. Through these solutions, the analysis accuracy and efficiency can be improved and the cost can be decreased.

Abstract: A terminal for analyzing a drug-disease relevance relation includes a transceiver and a processor. The transceiver is configured to receive drug information, disease information and drug-disease relevance relation information. The processor is configured to construct a pharmacodynamic relation model based on the drug information, the disease information and the drug-disease relevance relation information.

Abstract: The present disclosure relates to a data processing method, a medical term processing system, a medical diagnostic system, a medical intelligent triage apparatus and a computer readable storage medium. The method comprises: acquiring statement information inputted by a user; dividing the statement information into a plurality of information segments by means of a predetermined algorithm, the plurality of information segments comprising a first information segment; establishing a Gaussian distribution of each of the information segments; calculating the similarity between the first information segment and words in a database by means of a similarity model; and obtaining, from words in the database, at least one second information segment for describing the first information segment based on the calculated similarity. The present disclosure can provide professional terms, such as medical terms, corresponding to colloquial expressions, to facilitate users' diagnosis and treatment.

Abstract: A knowledge verification method, a knowledge verification device, and a storage medium. The knowledge verification method includes: obtaining target candidate knowledge and conflict candidate knowledge that contradicts with the target candidate knowledge; obtaining a target evidence group related to the target candidate knowledge and a conflict evidence group related to the conflict candidate knowledge; calculating a verification probability of the target candidate knowledge based on a logic rule of each evidence in the target evidence group and calculating a verification probability of the conflict candidate knowledge based on a logic rule of each evidence in the conflict evidence group; and comparing the verification probability of the target candidate knowledge with the verification probability of the conflict candidate knowledge and determining whether the target candidate knowledge is correct knowledge or not according to a comparison result.

Abstract: The present invention is related to an information extraction method. The information extraction method may comprise providing r semantic relationships, acquiring entity pairs corresponding to the semantic relationships, acquiring first instances based on the entity pairs, and eliminating instances that do not have the semantic relationships from the first instances to obtain second instances. r is a positive integer. Each of the entity pairs contains a pair of named entities. The first instances are sentences containing the entity pairs.

Abstract: Methods and systems are disclosed related to region based device bypass in circuit simulation. In one embodiment, a computer implemented method of performing region based device bypass in circuit simulation includes receiving a subcircuit for simulation, where the subcircuit includes a plurality of devices, and determining node tolerance of the plurality of devices. The computer implemented method further comprises for each device in the plurality of devices, determining whether the device has entered into a bypass region using the node tolerance of the plurality of devices, performing model evaluation in response to the device has not entered the bypass region, and skipping model evaluation in response to the device has entered the bypass region.

Abstract: Methods and systems are disclosed related to multi-rate parallel circuit simulation. In one embodiment, a computer implemented method of partitioning the circuit into a plurality of partitions, wherein each partition is represented by a set of linear differential equations, determining a simulation time step for each partition of the plurality of partitions, grouping the plurality of partitions into multiple groups, wherein each group includes one or more partitions having simulation time steps within a predefined range of each other, and solving the multiple groups with their corresponding simulation time steps in parallel.

Abstract: Composite pigments are provided which comprise a mineral pigment (such as kaolin clay, titanium dioxide, talc, mica or a mixture of two or more of these mineral pigments) and calcium carbonate precipitated in-situ on the surfaces of the particles of the mineral pigment.