Big data medical pre-examination triage method and system
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A big data and pre-check technology, applied in the computer field, can solve the problems of rough detection, waste of manpower and material resources, and inability to accurately determine whether users have infectious diseases.
Pending Publication Date: 2022-07-12
杨春军
View PDF0 Cites 0 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
However, manual methods are too wasteful of manpower and material resources for the detection of infectious diseases.
It will be simpler and more convenient to adopt the method of machine detection, but the current detection method is only a rough detection, and it is impossible to accurately determine whether the user has an infectious disease
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0071] like figure 1 As shown, the embodiment of the present invention provides a big data medical pre-examination and triage method, and the method includes:
[0072] S101: Obtain patient information; the patient information includes epidemiological history information, occupational history information and symptom information.
[0073] Wherein, the patient information represents the health status of the user. Use face detection to get user information. The patient information is obtained in the database according to the user information.
[0074] S102: Based on the patient information, obtain the infectious disease situation through a pre-check model; if the infectious disease situation is 1, it indicates that it may be an infectious disease.
[0075] S103: If the infectious disease status is 1, notify the user to triage to an infectious disease department or a triage point for treatment.
[0076] The pre-check model includes a first pre-check structure, a second pre-chec...
Embodiment 2
[0148] Based on the above-mentioned big data medical pre-check and triage method, an embodiment of the present invention further provides a big data medical pre-check and triage system, the system includes an acquisition module, a pre-check model and a notification module.
[0149] The obtaining module is used to obtain patient information. The patient information includes epidemiological history information, occupational history information, and symptom status information.
[0150] The pre-check model is used to obtain the infectious disease situation through the pre-check model based on the patient information. The infectious disease status of 1 indicates that it may be an infectious disease.
[0151] The notification module is used to notify the user to triage to an infectious disease department or a triage point for treatment if the infectious disease status is 1.
[0152] The pre-check model includes a first pre-check structure, a second pre-check structure and a discri...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
PUM
Login to view more
Abstract
The invention discloses a big data medical pre-examination triage method and system. Patient information is obtained. And based on the patient information, obtaining an infectious disease condition through a pre-examination model. And if the infectious disease condition is 1, notifying the user of triage to an infectious disease department or a triage point to see a doctor. The pre-detection model comprises a first pre-detection structure, a second pre-detection structure and a fusion pre-detection structure. Inputting the patient information into respective corresponding neural networks to extract features, and inputting the features into a first pre-examination fusion neural network to perform information fusion to obtain a first pre-examination vector; and the influence degree of each type of information on infection detection is obtained according to the first pre-detection structure before detection. And constructing a second pre-check structure by controlling the number and the maximum value of the random numbers. And the connection with the minimum influence on infectious disease detection in the second pre-detection structure is the most relaxed. In order to more accurately detect infectious diseases, the first pre-detection vector and the second pre-detection vector are combined to jointly judge the condition of the infectious diseases.
Description
technical field [0001] The invention relates to the field of computer technology, and in particular, to a method and system for medical pre-examination and triage with big data. Background technique [0002] At present, the pre-examination and triage system of infectious diseases refers to the effective control of infectious diseases by medical institutions and the prevention of cross-infection within medical institutions. The screening, examination and triage system of infectious diseases are carried out in advance for the patients who come to the clinic. Inquire about the patient's epidemiological history and occupational history, and carry out pre-examination of infectious diseases for the patient who comes to the clinic in combination with the patient's chief complaint, medical history, symptoms and signs. If the pre-examination is an infectious disease patient or a suspected infectious disease patient, the patient shall be triaged to the infectious disease department o...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more