Follow-up visit plan list generation method and device based on artificial intelligence, terminal and medium
An artificial intelligence and planning technology, applied in the field of digital medical care, can solve the problems of low efficiency of follow-up plan formulation and increased difficulty of follow-up plan formulation, and achieve the effect of high generation efficiency
Pending Publication Date: 2021-01-12
深圳平安智慧医健科技有限公司
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Problems solved by technology
[0003] In the process of realizing the present invention, the inventors found that since the population of patients with chronic diseases is getting larger and larger, and patients with different diseases may have different follow-up requirements, it is more difficult to formulate follow-up plans, and the efficiency of follow-up plan formulation is relatively low. Low
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[0052] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.
[0053] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention.
[0054] The artificial intelligence-based follow-up plan generation method provided by the embodiment of the present invention is executed by the terminal, and correspondingly, the artificial intelligence-based fol...
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The invention relates to the technical field of digital medical treatment, and provides a follow-up visit plan list generation method and device based on artificial intelligence, a terminal and a medium, and the method comprises the steps: obtaining a plurality of first diagnosis and treatment record reports, and extracting a plurality of chronic disease risk factors from the plurality of first diagnosis and treatment record reports through employing an XGBOOST model; receiving a grouping request of a patient and analyzing the grouping request to obtain first identity information of the patient; identifying a diagnosis identifier of the patient according to the first identity information and acquiring a second diagnosis and treatment record report of the patient according to the first identity information; calculating a diagnosis grade according to the second diagnosis and treatment record report and calculating a risk coefficient grade according to the plurality of chronic disease risk factors and the diagnosis grade; identifying the grouping level of the patient according to the danger coefficient level; and generating a follow-up visit plan list based on the grouping level and the diagnosis identifier. According to the invention, different follow-up visit plan lists can be generated for different patients, and the follow-up visit plan list generation efficiency is high.
Description
technical field [0001] The present invention relates to the field of digital medical technology, in particular to a method, device, terminal and medium for generating a follow-up plan sheet based on artificial intelligence. Background technique [0002] In recent years, the number of patients with chronic diseases has been increasing, and the overall phenomenon of high morbidity and mortality has been shown. Chronic diseases have become a public health problem that seriously threatens human health. Create a follow-up plan. [0003] In the process of realizing the present invention, the inventors found that since the population of patients with chronic diseases is getting larger and larger, and patients with different diseases may have different follow-up requirements, it is more difficult to formulate follow-up plans, and the efficiency of follow-up plan formulation is relatively low. Low. Contents of the invention [0004] In view of the above, it is necessary to propos...
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Login to View More IPC IPC(8): G16H10/60G16H15/00G16H50/30G16H50/70G06K9/62G06N20/00
CPCG16H10/60G16H15/00G16H50/70G16H50/30G06N20/00G06F18/2148
Inventor 谢树英
Owner 深圳平安智慧医健科技有限公司