53 results about "Physician Data Query" patented technology

The invention discloses a cloud service-based expert information management platform, which comprises a user side, an information management platform, a database and a cloud server. The user side, theinformation management platform and the database are deployed on the cloud server; the user side comprises a visitor side, an expert side and a management side; the information management platform comprises a presentation layer, an application layer and a data layer; the database comprises a registration information base, an expert information base, a news announcement base, an evaluation base, asummary report base and a literature database. According to the invention, a digital, networked and informationized expert management platform is established based on big data and the Internet technology, the problems of uneven expert information quality, large expert selection and management workload and low expert participation degree in the existing expert management method are solved, the expert work flow is further effectively standardized, and the expert management efficiency is improved. A good working environment and choice are provided for the user, and the working efficiency of theuser is improved.

The invention provides a wireless electronic stethoscope, belonging to the technical field of medical instruments. The wireless electronic stethoscope comprises a stethoscope head, a handheld terminaland earphones, wherein the stethoscope head and the handheld terminal are connected in a wireless mode; the hand-held terminal is provided with an earphone jack and a wireless communication device; the hand-held terminal is in wired connection with the earphones through the earphone jack formed in the hand-held terminal, or is in wireless connection with the earphones through the wireless communication device arranged on the hand-held terminal; the hand-held terminal is provided with a sound storage device and a sound analysis module; the sound storage device is used for storing data, so a database is established for a user to conduct query at any time and can also be used for teaching and remote consultation; and an auscultation sound database of typical diseases is preset in the sound analysis module, collected auscultation sound data can be analyzed through comparison with the auscultation sound database, and a preliminary diagnosis prompt is obtained. The wireless electronic stethoscope can realize collection, storage, playing, analysis and transmission of auscultation sound data of a patient, and doctors can be assisted in better knowing the illness state of the patient.

A method for extending a functionality of a computing device programmed to obtain physiological measurements from a patient includes: registering, at the computing device, a plug-in module, the plug-in module providing additional functionality for the computing device; using the plug-in module to communicate with a medical device; commanding the medical device to obtain physiological information from a patient; receiving data associated with the physiological information from the medical device; and transferring the data to a central repository.

The invention relates to the bidding and tendering service technology field and especially relates to a bidding and tendering expert selection method and system. The method comprises the following steps of S1, establishing an expert database, a pending library and a selection database, wherein several pieces of expert information is prestored in the expert database and the expert information carries first identifiers; S2, receiving a target file uploaded by a management terminal; S3, extracting second identifiers in the target file, matching the second identifiers with the first identifiers one by one, and determining whether the second identifiers are the same with the first identifiers; if the second identifiers are the same with the first identifiers, calling the corresponding expert information in the pending library; and if the second identifiers are not the same with the first identifiers, calling the corresponding expert information in the selection database; S4, receiving a selection request sent by the management terminal and randomly marking one or several pieces of the expert information in the selection database; and S5, sending the one or several pieces of marked expert information to the management terminal, automatically matching the target file and screening the expert information so as to guarantee that bidding and tendering work is performed fairly.

The invention discloses an intelligent network security monitoring system and a monitoring method thereof. The method comprises a user unit, an information acquisition unit, a firewall unit, an emergency unit, an early warning unit, a classification unit, a processing database, a first inspection unit, a second inspection unit, a third inspection unit, an N inspection unit, an information recombination unit, an information database, a secondary antivirus unit and an information inspection unit. According to the method, after virus information breaks through a firewall, information collection can be stopped, information data in an information database can be isolated, damage to the information data or leakage of important information data can be prevented, information processing of corresponding classification is carried out, complex information is simplified, monitoring and auditing of the information are accelerated, working efficiency is improved, and meanwhile, after the violation information is bound with the compliance information, the violation information is released along with the compliance information, and meanwhile, useful information is extracted and utilized, so that available information resources are fully utilized.

The invention discloses a compound automatic radiotherapy planning method, which is stored in a database after obtaining patient-specific image characteristics; when starting to formulate a patient's radiotherapy plan, the image characteristics are used as search criteria to first search in the image characteristic database The most similar image group is extracted as a sample group, and after the appropriate registration algorithm is selected according to the clinical application requirements, the target area delineation information is imported into the patient image, and the target area and organs at risk are automatically delineated. After the doctor completes the confirmation of the drawing results, he enters the relevant treatment dose parameters and starts to automatically calculate the dose distribution simulation calculation of the radiotherapy plan. After the simulation results are confirmed by the doctor or physicist, the radiotherapy plan is completed. The present invention can accurately and improve the delineation of the target area and the information of related organs, and is a method that can be completely applied in the field of tumor radiotherapy; as long as the patient's anatomical structure image is obtained, a new treatment plan for the patient can be quickly generated to provide doctors with professional judgment.

The invention relates to the field of medical image processing, and aims to provide an ultrasonic image hybrid training method based on deep learning. Including steps: using the ultrasound image data of different examination parts in the database to prepare training sets, validation sets and test sets; preprocessing each data set; constructing and training a convolutional neural network, using multi-channel output during training, but only A single channel participates in backpropagation; testing on a trained convolutional neural network. The present invention combines multiple ultrasound data sets of different diseases to train together, so that the convolutional neural network model can access more samples, alleviate the problems of few data set samples and single cases, and further improve the training of the model on a single task. Performance. The present invention completes multiple ultrasound tasks through the same convolutional neural network, which can reduce training and deployment costs and improve user experience.

An operation system based on membership level and a method thereof are provided. The system comprises a database; a computer device connected to the database, the computer device receiving a member data and setting the member data to a zero-th membership level, the computer device searching in the database for a plurality of (N+1)th-level sub-member data related to the N-th level sub-member data, and setting the (N+1)th-level sub-member data to (N+1)th membership level; and a display device, using the member data as a center, displaying the member data, the first membership level, the second membership level to the (N+1)th membership level, wherein the N is an integer greater than or equal to two. Moreover, the operation method based on membership level is also provided.

The present application discloses an I / O stack request response method, system, device, computer-readable storage medium, and I / O stack request response control method and system, including: using the request type recorded in the request instruction to search in the database To the responder corresponding to itself for responding to the request type; sending request information to the responder according to the request type; receiving the response result fed back by the responder; judging whether the response results are all successful; if so, judging whether there is a next level The requester; if there is, notify the requester at the next level to respond to the request; this application establishes the corresponding relationship between the request type, the responder and the requester in the database, and establishes that the requester requests the responder to respond to the request. , forming a request-response method of the observer mode, using the database to establish a corresponding relationship, so that the corresponding relationship can be adjusted. By adding, modifying or deleting in the database, the response process of a request can be adjusted to make the request setting more flexible.