Abstract: Dynamic tracking methods for an in-vivo three-dimensional key point and an in-vivo three-dimensional curve can include mapping a first local region to a first local point cloud and mapping a second local region to a second local point cloud according to a mapping relation between an endoscopic image and the point clouds; determining a first three-dimensional key point of a first two-dimensional key point on the first local point cloud, and acquiring a second three-dimensional key point on the second local point cloud through a coordinate transformation; and mapping the second three-dimensional key point back to the second local region, so as to acquire a second two-dimensional key point from a next image; and acquiring two-dimensional coordinates of a tracked key point by minimizing a preset optimization function in combination with an initial two-dimensional key point, and finally acquiring corresponding three-dimensional coordinates.

Abstract: A method of deploying a neural network on a target device method includes extracting a number of device dependent error masks from the target device, using the number of device dependent error masks in a training phase of the neural network to generate a device dependent weight matrix for the neural network, and storing the device dependent weight matrix in the target device for use by the target device to perform inference tasks using the neural network.

Abstract: The present invention discloses a multimode mobile electronic medical record system and a working method thereof. The multimode mobile electronic medical record system comprises a plurality of mobile terminals, service server, push server, authentication server and cloud server. The mobile terminal comprises a medical record information collection module, a medical record generation module, a medical record synchronization module, a medical record parsing module and a medical record showing module. The service server comprises a medical record storage module and a medical record exchange module. The push server comprises a medical record push module. The authentication server comprises a medical record safety control module. The multimode mobile electronic medical record system can meet collection, integration and transfer of multimode electronic medical record information in a mobile medical environment, and can efficiently improve efficiency and convenience of mobile medical services.

Abstract: The present invention provides a method and system for synchronously storing multi-modal information of portable endoscope. The method includes: S1: when a mobile terminal acquires data collected by a portable endoscope and updates local data with the acquired data, acquiring update record of the local data of the mobile terminal; and, S2: when the mobile terminal is synchronized with a cloud, synchronizing data in the mobile terminal with data in the cloud by using the update record as information to be synchronized. By creating a table to be synchronized to store change information and location information of files and selectively performing synchronization from the mobile terminal to the cloud or from the cloud to the mobile terminal according to whether or not the table to be synchronized is null during synchronization, unnecessary synchronization operations, storage burden of the mobile terminal and synchronization time and traffic are all reduced.

Abstract: The present invention discloses a task scheduling system and method suitable for mobile health, the characteristics thereof including: a mobile health task distribution module, a plurality of mobile health task processing modules and a mobile health task callback module; the mobile health task distribution module comprises: a resource description unit, a resource scheduling unit, a resource matcher; each of the mobile health task processing modules comprises: a task decomposition unit, a task execution unit, a task evaluation unit. The present invention is capable of carrying out tasks with full use of the currently available task processing resources, thereby being capable of improving the efficiency and performance of the task scheduling processing in the mobile health environment.

Abstract: The present invention discloses a mobile health intelligent medical guide system and method thereof. The method comprises: collecting patient chief complaint by use of a mobile terminal, sending the patient chief complaint to a cloud server through the mobile phone device internet, analyzing and processing the patient chief complaint by use of the keyword extraction, text word segmentation, fuzzy matching and sorting recommendation technologies based on a medical knowledge base, automatically generating a disease examination result, and generating an intelligent medical guide result to be fed back to the mobile terminal in combination with the doctor information; and then optimizing the disease examination result and the intelligent medical guide result one by one until the patient ends the query or the diagnosis result achieves the optimum. The system can assist the patient to perform self-helped disease examination and medical guide in the mobile environment.

Abstract: A method of deploying a neural network on a target device method includes extracting a number of device dependent error masks from the target device, using the number of device dependent error masks in a training phase of the neural network to generate a device dependent weight matrix for the neural network, and storing the device dependent weight matrix in the target device for use by the target device to perform inference tasks using the neural network.

Abstract: The present invention provides a method and system for synchronously storing multi-modal information of portable endoscope. The method includes: S1: when a mobile terminal acquires data collected by a portable endoscope and updates local data with the acquired data, acquiring update record of the local data of the mobile terminal; and, S2: when the mobile terminal is synchronized with a cloud, synchronizing data in the mobile terminal with data in the cloud by using the update record as information to be synchronized. By creating a table to be synchronized to store change information and location information of files and selectively performing synchronization from the mobile terminal to the cloud or from the cloud to the mobile terminal according to whether or not the table to be synchronized is null during synchronization, unnecessary synchronization operations, storage burden of the mobile terminal and synchronization time and traffic are all reduced.

Abstract: The invention provides an intelligent auxiliary diagnosis method, system and machine-readable medium. The method comprises: calculating relevancy between keywords of chief complaint in a current medical record and in a standard medical record and Latent Semantic Indexing (LSI) themes to acquire a set of vectors for current medical record-theme relevancy and a set of vectors for standard medical record-theme relevancy; calculating the similarity between the chief complaint in a current medical record and the chief complaint in a standard medical record, based on the set of vectors for current medical record-theme relevancy and the set of vectors for standard medical record-theme relevancy; and determining a corresponding standard medical record, according to the similarity. The invention can be used for preliminary determination of a current medical record and intelligent diagnosis, thereby greatly reducing the pressure on hospital staff and improving patient experience.

Abstract: A server receives a request for a service from a first user that defines a location for the service and a category of the service. A first stage of matching is performed that includes determining second users that match the location and category. A second stage of matching is performed that includes performing for each second user: computing a first value that quantifies an attractiveness of the request to that second user, computing a second value that quantifies a likelihood of the first user selecting that second user to fulfill the request, and computing a third value based at least in part on the computed first and second values. A request for the service is transmitted to at least some of the second users whose computed third value exceeds a first threshold value.

Abstract: The present disclosure discloses a method and system for detecting overlapping communities based on similarity between nodes in a social network. The method comprises steps of: receiving a social network to be detected; calculating a level of similarity between nodes in the social network to be detected; detecting overlapping communities in the social network based on the level of similarity between nodes; and, outputting a structure of the detected overlapping communities. In the method for detecting overlapping communities based on similarity between nodes in a social network of the present disclosure, a method for calculating similarity between network structure information and node attribute information is fused in the social network environment, and a method for discovering overlapping communities by fusing the similarity between nodes is proposed on this basis to obtain a high-quality community cohered in terms of both network structure and node preference.

Abstract: The present invention discloses an intelligent assistant judgment system for images of cervix uteri and a processing method thereof. This system comprises a colposcope device and an assistant judgment device. By combining the colposcope device and the assistant judgment device together to obtain the images of the cervix uteri to be detected by the colposcope device and to compare and analyze the images of the cervix uteri to be detected and its characteristic data by the assistant judgment device, the present invention can judge whether the current cervix uteri to be detected are normal cervix uteri, and can obtain, from the characteristic data of the images of the cervix uteri to be detected, the type of a lesion occurring in the current cervix uteri to be detected and characteristic parameters of the lesion. The doctors are assisted in making correct diagnosis and judgment.

Abstract: The present invention discloses a method and a device for constructing a medical knowledge graph and an assistant diagnosis method. The assistant diagnosis method based on a medical knowledge graph comprises the steps of: acquiring complaint data and examination data of a patient and processing the data to obtain symptom entities and sign entities of the patient; searching, from the medical knowledge graph, disease entities associated with the symptom entities and the sign entities, calculating a posterior probability of each disease entity separately under a set of its corresponding symptom entities and sign entities; and outputting a disease entity with a maximum posterior probability as well as data corresponding to its associated nodes. The present invention provides an intelligent assistant diagnosis for clinical medicine to reduce the work burden of medical staff, relieve the medical pressure and reduce medical accidents.

Abstract: The present invention discloses a mobile health intelligent medical guide system and method thereof. The method comprises steps: collecting patient chief complaint, sending the patient chief complaint to a cloud server, analyzing and processing the patient chief complaint, text word segmentation, fuzzy matching and sorting recommendation technologies, generating a disease examination result, and generating an intelligent medical guide result to be fed back to the mobile terminal; reminding the patient to supplement the chief complaint information if the patient does not end this query or the diagnosis result does not achieve the optimum, and then optimizing the disease examination result and the intelligent medical guide result until the patient ends the query or the diagnosis result achieves the optimum. The system disclosed can assist the patient to perform self-helped disease examination and medical guide in the mobile environment, thereby promoting the development of the mobile medical technology.

Abstract: The present invention discloses a multimode mobile electronic medical record system and a working method thereof. The multimode mobile electronic medical record system comprises a plurality of mobile terminals, service server, push server, authentication server and cloud server. The mobile terminal comprises a medical record information collection module, a medical record generation module, a medical record synchronization module, a medical record parsing module and a medical record showing module. The service server comprises a medical record storage module and a medical record exchange module. The push server comprises a medical record push module. The authentication server comprises a medical record safety control module. The multimode mobile electronic medical record system can meet collection, integration and transfer of multimode electronic medical record information in a mobile medical environment, and can efficiently improve efficiency and convenience of mobile medical services.

Abstract: The present invention discloses a task scheduling system and method suitable for mobile health, the characteristics thereof including: a mobile health task distribution module, a plurality of mobile health task processing modules and a mobile health task callback module; the mobile health task distribution module comprises: a resource description unit, a resource scheduling unit, a resource matcher; each of the mobile health task processing modules comprises: a task decomposition unit, a task execution unit, a task evaluation unit. The present invention is capable of carrying out tasks with full use of the currently available task processing resources, thereby being capable of improving the efficiency and performance of the task scheduling processing in the mobile health environment.

Abstract: Documents are replicated among servers comprising a search engine based on the value of each document by approximating its value as one of the top search results for one or more exemplary queries. Documents are allocated among servers comprising a search engine by calculating a relevance value for each document and then distributing the documents evenly to the servers. A subset of servers are selected from among a plurality of servers comprising a search engine using term-based, server-specific histograms reflecting the number of instances of the term in each document allocated to each server, and then selecting servers to service a query based on the documents on those servers.

Abstract: Documents are replicated among servers comprising a search engine based on the value of each document by approximating its value as one of the top search results for one or more exemplary queries. Documents are allocated among servers comprising a search engine by calculating a relevance value for each document and then distributing the documents evenly to the servers. A subset of servers are selected from among a plurality of servers comprising a search engine using term-based, server-specific histograms reflecting the number of instances of the term in each document allocated to each server, and then selecting servers to service a query based on the documents on those servers.