Pulmonary tuberculosis patient early warning system and early warning method based on electronic medical record data
A technology of electronic medical records and tuberculosis, applied in the direction of epidemic warning system, patient-specific data, neural learning methods, etc., can solve the problems of poor detection accuracy of tuberculosis and unimaginable consequences of tuberculosis epidemic spread, so as to make up for the time-consuming and labor-intensive and reduce the lack of understanding , the effect of reducing the false positive rate
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0083] The early warning method for tuberculosis patients based on electronic medical record data provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as image 3 As shown, the method for constructing a pulmonary tuberculosis detection model according to the patient's pulmonary tuberculosis disease characteristic data by the model building program provided by the embodiment of the present invention includes:
[0084] S201. The user terminal collects the patient's sign information, and sends the patient's sign information to the cloud server; the cloud server matches the disease information corresponding to the patient's sign information in the disease information database, and matches the patient's sign information according to the patient's sign information. The preset sign data of the corresponding disease information, and send the matching result to the user terminal.
[0085] S202. Acquire a specified number...
Embodiment 2
[0097] The early warning method for tuberculosis patients based on electronic medical record data provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as Figure 4 As shown, the method for analyzing the patient's tuberculosis medical record through the analysis program according to the tuberculosis detection model provided by the embodiment of the present invention includes:
[0098] S301. Obtain the medical record data of the patient's pulmonary tuberculosis disease by using the analysis program through the medical record analysis module, and set the scope of the medical record, including user scope and data dimension.
[0099] S302. Obtain corresponding medical record data according to the set medical record range; perform an association analysis on the relationship between each data dimension in the medical record data and tuberculosis symptoms or complications; wherein, whether suffering from tuberculosis sympt...
Embodiment 3
[0107] The early warning method for tuberculosis patients based on electronic medical record data provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as Figure 5 As shown, the method for screening and reporting the information of tuberculosis patients through the screening program provided by the embodiment of the present invention includes:
[0108] S401, training and forming a deep neural network through a large number of manually labeled samples, the deep neural network learns image features of pulmonary tuberculosis autonomously.
[0109] S402. Establish a chest radiograph data set according to the influence characteristics, and label the chest radiograph samples in the chest radiograph data set; train an image classifier based on the chest radiograph data set, and the image classifier is used to distinguish chest radiographs Whether the image features that characterize pulmonary tuberculosis are included ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com