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Risk prediction method and device based on artificial intelligence, electronic equipment and medium

A technology of risk prediction and artificial intelligence, applied in the field of artificial intelligence, can solve problems such as low efficiency and predict the risk of prescriptions, and achieve the effect of improving accuracy and accuracy

Pending Publication Date: 2021-12-31
深圳平安智慧医健科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current risk prediction of prescriptions is usually judged directly based on the single dimension of the prescription, and does not combine multiple dimensions to predict the risk of the prescription
Therefore, the efficiency of the existing prescription prediction is not high, and how to carry out risk detection on patients' medication has become an urgent problem to be solved

Method used

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  • Risk prediction method and device based on artificial intelligence, electronic equipment and medium
  • Risk prediction method and device based on artificial intelligence, electronic equipment and medium
  • Risk prediction method and device based on artificial intelligence, electronic equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] figure 1 The present application is based on artificial intelligence is a flowchart risk prediction method according to a first embodiment. The artificial intelligence risk prediction method includes the following steps, depending on the requirements, the order of the steps in this flowchart may be changed, some of which may be omitted.

[0062] S11, corresponding to the determined diagnostic patient condition, and pre-built libraries decision tree, the decision tree query condition corresponding to the diagnostic condition.

[0063] Exemplary, may be recorded on the patient cases the physician completed condition, determined to correspond to patients diagnosed condition. Pre-built library decision tree comprises decision tree condition corresponding to a variety of conditions. To a patient suffering from a disorder tree obtained calculating the probability of a certain disease.

[0064] Before In an alternative embodiment, the pre-built library decision tree, the decision...

Embodiment 2

[0140] figure 2 It is a configuration diagram of the risk prediction based on artificial intelligence apparatus according to a second embodiment of the present application.

[0141] In some embodiments, the prediction means 20 may comprise a plurality of functional modules by computer program segments consisting of risk-based artificial intelligence. The risk prediction based on artificial intelligence computer programs in the respective program segments stored in the memory device 20 may be an electronic device, executed by at least one processor to perform (see figure 1 Description) function based risk prediction methods of artificial intelligence.

[0142] Risk present embodiment, the artificial intelligence based prediction apparatus 20 according to the function it performs, may be divided into a plurality of functional modules. The functional modules may include: disorders query module 201, a probability calculating module 202, a prescription determination module 203, infere...

Embodiment 3

[0225] This embodiment provides a computer-readable storage medium, the computer-readable storage medium storing a computer program, to achieve the above-described steps in the prediction of risk embodiment artificial intelligence based methods when the computer program is executed by a processor, e.g. figure 1 S11-S15 shown:

[0226] S11, corresponding to the determined diagnostic patient condition, and pre-built libraries decision tree, the decision tree of the diagnostic query condition corresponding to the condition;

[0227] S12, wherein the acquiring condition corresponding to a patient, and the condition wherein the condition input to decision tree, to obtain the probability of illness;

[0228] S13, if the probability of illness is greater than or equal to a preset threshold probability is determined corresponding to the patient prescriptions;

[0229] S14, based on the information the patient and the patient's prescription medication, knowledge reasoning in pre-built data...

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Abstract

The invention relates to the technical field of artificial intelligence, and provides a risk prediction method and device based on artificial intelligence, electronic equipment and a medium, and the method comprises the steps: querying a disease decision tree corresponding to a diagnosis disease of a patient in a pre-constructed decision tree library; inputting the disease feature corresponding to the patient into the disease decision tree to obtain a disease probability; if the illness probability is greater than or equal to a preset probability threshold, determining a prescription drug corresponding to the patient; based on patient information of a patient and the prescription drug, performing knowledge reasoning in a pre-constructed drug database, determining whether drugs having risks for the patient exist in the prescription drugs, and if the drugs having risks for the patient exist in the prescription drugs, determining target information corresponding to the patient according to the drugs having risks; and inputting the target information into a trained risk prediction model to obtain a medication risk value of the prescription drug. According to the invention, the accuracy of medication risk prediction is improved.

Description

Technical field [0001] The present application relates to artificial intelligence technology, and therefore referring to a risk prediction method, apparatus, electronic device, and medium based on artificial intelligence. Background technique [0002] In the medical field, physicians are usually based on their own experience, combining the patient's condition, for the prescription of the patient. During the process of issuing a prescription, the physician may have a larger side of the comparison, causing the drug that is not played greatly in many ways. With the development of artificial intelligence, the medical platform can support risk pre-judgment to the doctor who issued to doctors. However, the current prescription risk pre-judgment is usually directly based on the single dimension of the prescription, and does not bind to multiple dimensions to predict the risk of the prescription. Therefore, the existing prescription prediction is not high, and how to use drugs in patient...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/10G16H50/20G16H70/40G06F16/33
CPCG16H20/10G16H50/20G16H70/40G06F16/3346
Inventor 陈朝海
Owner 深圳平安智慧医健科技有限公司
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