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Drug dose prediction method and device, electronic equipment and storage medium

A technology for dose prediction and drug dosage, which is applied in the field of data processing and can solve problems such as the inability to determine the dosage of drugs

Pending Publication Date: 2021-08-17
THE FIRST AFFILIATED HOSPITAL OF ZHENGZHOU UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a drug dose prediction method, device, electronic equipment and storage medium, which are used to solve the problem in the prior art that the targeted drug dosage cannot be determined according to the patient's personal characteristics, and to achieve more accurate determination of different patients. The effect of drug dosage

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  • Drug dose prediction method and device, electronic equipment and storage medium
  • Drug dose prediction method and device, electronic equipment and storage medium
  • Drug dose prediction method and device, electronic equipment and storage medium

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Embodiment Construction

[0027] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0028] It should be noted that, in the embodiments of the present invention, words such as "exemplary" or "for example" are used for example, illustration or description. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present invention shall not be construed as being more preferred or more advantageous than other embodiments or design sol...

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Abstract

The invention provides a drug dose prediction method and device, electronic equipment and a storage medium, is applied to the technical field of data processing, and can determine more accurate drug use doses for different patients. The method comprises the following steps: acquiring clinical original data of a target patient, wherein the clinical original data comprises demographic information, therapeutic drug use information, drug combination information, adjuvant therapy means, gene polymorphism and inspection information; performing data preprocessing on the clinical original data to obtain target feature data, the data preprocessing including at least one of data cleaning, data normalized coding and data screening; and inputting the target feature data into a drug dose prediction model to obtain the drug dose of the target patient in unit time.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a medicine dose prediction method, device, electronic equipment and storage medium. Background technique [0002] Tacrolimus is an immunosuppressive drug widely used in kidney transplant recipients (KTRS). Because of its narrow therapeutic index, that is, the boundary between therapeutic blood concentration and toxic blood concentration is very close, inappropriate blood concentration of tacrolimus will cause acute rejection, such as nephrotoxicity, renal infection, and neonatal Diabetes etc. [0003] In the prior art, clinicians usually adjust the dosage of tacrolimus according to therapeutic drug monitoring (therapeutic drug monitoring, TDM) early after transplantation until the level of long-term maintenance of immunosuppression is reached. [0004] However, the dose required to achieve the targeted whole blood tacrolimus concentration varies from individual ...

Claims

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Application Information

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IPC IPC(8): G16H70/40G16H50/70G06N20/00
CPCG16H70/40G16H50/70G06N20/00
Inventor 杨晶张绮雯田雪珂王培乐于泽王则远张津源
Owner THE FIRST AFFILIATED HOSPITAL OF ZHENGZHOU UNIV
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