CN-116403724-B - Community health medical data cockpit and creation method thereof

CN116403724BCN 116403724 BCN116403724 BCN 116403724BCN-116403724-B

Abstract

The invention discloses a community health medical data cockpit and a creation method thereof, wherein a server acquires medical data after each update, data layering processing of double-layer dimensionality is completed, one layer is used for integrating and displaying all medical data, characteristic calibration is carried out, the medical data after the characteristic calibration is integrated into corresponding data display nodes, integrated classification of information is comprehensively displayed, meanwhile, classification of personalized medical data is completed, the other layer of data processing is used for carrying out normalization reduction preprocessing on the acquired data, trend quantification display in the development of medical data time period is completed through a decision algorithm model and an optimizing iteration formula after the characteristic extraction, and development trend of community medical states is clarified.

Inventors

WANG HONGWEI
LUO XIAOFENG
WU MING

Assignees

中浙信科技咨询有限公司

Dates

Publication Date: 20260505
Application Date: 20230227

Claims (8)

1. The community health medical data cockpit is characterized by comprising an application program for creating independent interface display, a server for carrying out integrated analysis on data and a touch screen display client for operating the application program; The touch screen display client is connected with the application program through an ultrasonic directional wireless integrated mode, the touch screen display client comprises a server, an FPGA controller and an ultrasonic signal active transmitting unit, a receiving chip is embedded in the application program, a multichannel synchronous receiving unit is embedded in the receiving chip, the server is connected with the FPGA controller, the output end of the FPGA controller is connected with the ultrasonic signal active transmitting unit, the input end of the FPGA controller is connected with the multichannel synchronous receiving unit, the ultrasonic signal active transmitting unit comprises a D/A converter, a power amplifier, an impedance matcher and a transmitting transducer, the FPGA controller is connected with the transmitting transducer sequentially through the D/A converter, the power amplifier and the impedance matcher, the multichannel synchronous receiving unit comprises an A/D converter, a preamplifier, an impedance transformer and a receiving transducer, and the receiving transducer is connected with the FPGA controller sequentially through the impedance converter, the preamplifier and the A/D converter; The server is directly connected with the FPGA controller through USB3.0, the signal input end of the application program is electrically connected with the signal output end of the touch screen display client, and a trigger instruction is sent during signal transmission, the server receives the trigger instruction to integrate data, and the integrated data interface is displayed in a data display node in the application program, wherein the server specifically comprises: The acquisition and storage module is used for acquiring and storing medical data updated each time, and specifically comprises, The acquisition input unit acquires medical data updated each time and inputs the medical data into the preprocessing unit; The preprocessing unit is in data connection with the acquisition input unit, receives medical data and performs normalization preprocessing; The feature extraction unit is in data connection with the preprocessing unit, performs feature extraction on the preprocessed medical data, performs feature extraction on the adjusted data by adopting a self-encoder technology such as a sparse coding technology, and the sparse coding cost function model is as follows: wherein X represents each medical data, A represents a selected characteristic value selected by each medical data, y is defined as an output characteristic extraction value, i and j are respectively arranged numbers of 2 medical data, m and k are respectively the current arranged numbers of each medical data, lambda is defined as a unit 1, S is a maximum function, C is defined as ln2, and alpha i and phi i are respectively extraction reference quantities of 2 medical data in the ith data; the decision display unit is in data connection with the feature extraction unit, synchronously constructs a decision algorithm model, substitutes medical data after feature extraction into the decision algorithm model, and searches for a decision value when an algorithm value is maximum through an optimizing iterative formula; The trend display unit is in data connection with the decision display unit, acquires decision values of the medical data updated each time in real time, displays the decision values of each time period under a basic coordinate system, acquires trend measurement changes of the medical data, and defines that the higher the decision value is, the higher the trending of the medical data is; the feature classification module is in data connection with the acquisition and storage module, acquires updated medical data and performs feature calibration on the medical data; and the integration module is in data connection with the feature classification module and integrates the medical data subjected to feature calibration into the corresponding data display node.
2. The community health medical data cockpit of claim 1 wherein receiving medical data and performing normalization preprocessing comprises, Acquiring various medical data under different characteristics; sequentially carrying out reduction pretreatment according to the selected characteristic values corresponding to the medical data to obtain reduced medical data; And sequentially carrying out normalization processing on each item of medical data after reduction.
3. The community health medical data cockpit of claim 2 wherein the pair of medical data is according to the formula The data is subjected to reduction preprocessing to acquire various reduced medical data, Wherein t is the acquired medical data, t' is each item of medical data after reduction, and delta is the selected characteristic value corresponding to each item of medical data t.
4. The community health medical data cockpit of claim 3, wherein the extraction reference quantity when the preprocessed medical data is subjected to characteristic extraction is, Wherein, delta' is the extraction reference quantity when extracting the characteristics, and delta is the selected characteristic value corresponding to each item of medical data t.
5. The community health medical data cockpit of claim 4 wherein said decision algorithm model is constructed in particular, Objective function J (y): Wherein J is a decision value output function, y is the output feature extraction value function quantity, E { } is an expected function, g () is a nonlinear function defined as an extraction reference function of different item data, and the nonlinear function is g=tanh (1.5 y); constraint E { } E {0,1}.
6. A community health medical data cockpit creation method according to any one of the claims 1 to 5, characterized by comprising the following steps, Creating an application program displayed by an independent interface, a server for carrying out integrated analysis on data and a touch screen display client for operating the application program; the server receives a trigger instruction of the application program and completes data layering processing of double-layer dimensions; And respectively displaying the data interfaces with the data layering processing in the data display nodes corresponding to the application programs.
7. The method for creating the community health medical data cockpit of claim 6, wherein the service end completing the data layering processing of the double-layer dimension comprises, Collecting and storing medical data updated each time; acquiring updated medical data and calibrating the characteristics of the medical data; and integrating the medical data with the characteristics calibrated into the corresponding data display nodes.
8. The method for creating the community health medical data cockpit of claim 6, wherein the service end completing the data layering processing of the double-layer dimension comprises, Collecting medical data updated each time, and inputting the medical data into a preprocessing unit for normalization preprocessing; extracting the characteristics of the preprocessed medical data; Constructing a decision algorithm model, substituting the medical data with extracted features into the decision algorithm model, and searching for a decision value when the algorithm value is maximum through an optimizing iterative formula; and acquiring decision values of the medical data updated each time in real time, and displaying the decision values of each time period under a basic coordinate system to acquire trend measurement changes of the medical data.

Description

Community health medical data cockpit and creation method thereof Technical Field The invention relates to the technical field of medical health data integration, in particular to a community health medical data cockpit and a creation method thereof. Background With the continuous development of the digital Internet, the digital community health strategy is further built, the social entrance of medical information is comprehensively promoted, and a digital intelligence platform for digital information is gradually built. The cockpit for building community health medical data is to comprehensively utilize technologies such as artificial intelligence, big data, blockchain, cloud computing, internet of things and the like to build community health medical data infrastructure represented by a community intelligent operation system. At present, the integration of relevant community health medical data is more or concentrated on directly incorporating each household information into a conventional data system, the follow-up statistics is more or depends on the periodic integration of community personnel, the construction of relevant digital platforms is not mature, in the prior art, a construction method of a rural digital infrastructure exists, the integral construction of a SaaS platform is focused on, but the intelligent medical aspect under the details is not further shown, and the integration classification of the information is comprehensively shown, but the individuation classification is not solved, the trend of the community medical state is not quantitatively shown, and the development trend of the community medical is not clear. Disclosure of Invention This section is intended to outline some aspects of embodiments of the application and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description of the application and in the title of the application, which may not be used to limit the scope of the application. The present invention has been made in view of the above-mentioned problems with existing community health medical data integration systems. Therefore, the intelligent medical Internet of things supporting platform solves the problems that on one hand, personalized classification of information is not solved, on the other hand, trend of community medical states is not quantitatively displayed, and trend of community medical development cannot be clearly seen. The technical scheme includes that the community health medical data cockpit comprises an application program for creating independent interface display, a server for integrating and analyzing data and a touch screen display client for operating the application program, wherein a signal input end of the application program is in electric signal connection with a signal output end of the touch screen display client and sends a trigger instruction during signal transmission, the server receives the trigger instruction to integrate data, and an integrated data interface is displayed in a data display node in the application program, the server specifically comprises an acquisition and storage module, a feature classification module and an integration module, wherein the acquisition and storage module is used for acquiring and storing medical data after each update, the feature classification module is in data connection with the acquisition and storage module and is used for performing feature calibration on the medical data after feature calibration, and the integration module is in data connection with the feature classification module and integrates the medical data after feature calibration into the corresponding data display node. The community health medical data cockpit is characterized in that the touch screen display client is connected with the application program through an ultrasonic directional wireless integrated mode, the touch screen display client comprises a server, an FPGA controller and an ultrasonic signal active transmitting unit, a receiving chip is embedded in the application program, a multichannel synchronous receiving unit is embedded in the receiving chip, the server is connected with the FPGA controller, the output end of the FPGA controller is connected with the ultrasonic signal active transmitting unit, the input end of the FPGA controller is connected with the multichannel synchronous receiving unit, the ultrasonic signal active transmitting unit comprises a D/A converter, a power amplifier, an impedance matcher and a transmitting transducer, the FPGA controller is sequentially connected with the transmitting transducer through the D/A converter, the power amplifier and the impedance matcher, the multichannel synchronous receiving unit comprises an A/D converter, a pre-amplifier, the impedance converter and the receiving transducer, the receiving transducer is sequentially connected with the FPGA controller through the impedance co