Medical service method and device based on cloud computing
A medical service and cloud computing technology, applied in the medical field, can solve the problems that the medical service cannot monitor the user's physical changes in real time, cannot diagnose and treat the user in time, and the rate of disease deterioration increases, so as to achieve accurate assessment of the health level, fast medical treatment, and reduced The effect on the probability of exacerbation
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Embodiment 1
[0037] figure 1 It is a schematic flowchart of a cloud computing-based medical service method in an embodiment of the present invention. Such as figure 1 As shown, the embodiment of the present invention provides a kind of medical service method based on cloud computing, and described method comprises:
[0038] Step 100: Obtain feature portrait information of the first user.
[0039]Specifically, the first user may be a specific person who signs up for medical services, or any legal citizen with full capacity, which is not specifically limited here. The characteristic portrait information of the first user is the characteristic portrait information of the first user, which can provide more specific information such as the first user's body shape, appearance, behavior preference, age, and gender. Upload personal identity information through the first user, and collect photos of the first user in real time, and collect behavior preference information of the first user through...
Embodiment 2
[0089] Based on the same inventive concept as the cloud computing-based medical service method in the foregoing embodiments, the present invention also provides a cloud computing-based medical service method device, such as Figure 8 As shown, the device includes:
[0090] A first obtaining unit 11, the first obtaining unit 11 is configured to obtain characteristic portrait information of the first user;
[0091] A second obtaining unit 12, the second obtaining unit 12 is configured to obtain vital sign information of the first user;
[0092] The first training unit 13, the first training unit 13 is used to input the feature portrait information and the vital sign information into the training model, wherein the training model is obtained by training multiple sets of training data, among the multiple sets Each set of training data in the training data includes: the feature portrait information, the vital sign information and the preset health level identification information;...
Embodiment 3
[0131] Based on the same inventive concept as the cloud computing-based medical service method in the foregoing embodiments, the present invention also provides an exemplary electronic device, such as Figure 9 As shown, it includes a memory 304, a processor 302, and a computer program stored on the memory 304 and operable on the processor 302. When the processor 302 executes the program, it realizes the aforementioned cloud computing-based medical service method steps in either method.
[0132] Among them, in Figure 9 In, bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 will include one or more processors represented by processor 302 and various types of memory represented by memory 304 circuits linked together. The bus 300 may also link together various other circuits, such as peripherals, voltage regulators, and power management circuits, etc., which are well known in the art and thus will not be furth...
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