COPD disease auxiliary diagnosis monitoring system based on big data
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A technology for assisting diagnosis and monitoring systems, applied in the fields of medical treatment and big data, to achieve the effect of easy treatment plan, easy disassembly, and easy adjustment
Pending Publication Date: 2020-01-31
CHANGZHOU INST OF LIGHT IND TECH
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Embodiment 1
[0048] Embodiment one, such as figure 1 As shown, a COPD disease-assisted diagnosis and monitoring system based on big data includes an acquisition module, a subset generation module, a calculation module and a monitoring device.
[0049] Obtaining module: obtaining COPD disease data in the database, the COPD disease data including COPD patient information and COPD patient clinical information;
[0050] Subset generation module: obtain the disease characteristics with the first number of COPD disease data, and obtain the feature subset through the MDF algorithm;
[0051] Calculation module: Classify the feature subset based on the first algorithm, and output the judgment result.
[0052] The monitoring device: used for real-time monitoring of the patient's signs, the monitoring device includes a lung monitoring unit and a nail monitoring unit.
Embodiment 2
[0053] Embodiment two, such as figure 2 As shown, a COPD disease auxiliary diagnosis and monitoring system based on big data also includes the following modules:
[0054] Standard data acquisition module: acquire the HL7 standard data of each sub-database, wherein the HL7 standard data includes at least two types of data;
[0055] Normalization processing module: Through a heterogeneous data semantic extraction framework, each HL7 standard data is semantically packaged, and several HL7 standard data with the same semantics are normalized to generate COPD disease data and stored in the database.
[0056] The HL7 standard data includes structured two-dimensional table data, semi-structured XML file data, unstructured images, documents and data.
[0057] The calculation module also includes:
[0058] Function generation unit: obtain the data point generation speed and data flow length of the COPD disease data included in the feature subset, and generate a preset function for t...
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Abstract
The invention provides a COPD disease auxiliary diagnosis monitoring system based on big data, and the system comprises an acquisition module, a subset generation module, a calculation module and a monitoring device. The acquisition module is used for acquiring COPD disease data in a database, and the COPD disease data comprises COPD patient information and COPD patient clinical information; the subset generation module is used for obtaining a first number of disease features in the COPD disease data and obtaining a feature subset through an MDF algorithm; the calculation module is used for classifying the feature subsets based on a first algorithm and outputting a judgment result; the monitoring device is used for monitoring the physical signs of the patient in real time and comprises a lung monitoring unit and a nail monitoring unit. According to the invention, multi-dimensional data features can be mined; a COPD disease analysis algorithm is designed for deep learning, a COPD diagnosis model is optimized, and the system is applied to clinical auxiliary diagnosis, is an approach for applying medical big data to COPD clinical auxiliary diagnosis, and has great significance in perfection, development and practicability of an information system data model in the medical field.
Description
technical field [0001] The invention relates to the fields of big data and medical technology, in particular to a COPD disease auxiliary diagnosis and monitoring system based on big data. Background technique [0002] At present, with the development of my country's economy and the progress of science and technology in recent years, the demand for the construction of various data centers has increased significantly. In October 2016, Changzhou, Nanjing, Fuzhou, and Xiamen were identified as the first batch of pilot units for the construction of the National Health and Medical Big Data Center and Industrial Park. A "city-county integration" regional national health information platform has been established across the country to realize the interconnection and data sharing and exchange of all public medical institutions. However, due to the different business processes and technical architectures adopted by these systems, the standards for collecting, processing, storing and e...
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