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Clinical drug effect evaluation method based on big data

A big data and drug technology, applied in the field of clinical drug effect evaluation based on big data, can solve problems such as inability to select drugs for patients, deterioration, and procrastination of patients' conditions, so as to avoid deterioration of the disease, ensure health, and facilitate operation.

Inactive Publication Date: 2020-06-19
李泽平
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing drug evaluation methods cannot enable patients to choose the most suitable drug for their own illness, thus delaying the patient's condition and causing continuous deterioration. For this reason, we propose a clinical drug effect evaluation method based on big data

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  • Clinical drug effect evaluation method based on big data
  • Clinical drug effect evaluation method based on big data

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Embodiment Construction

[0031] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0032] See figure 1 with figure 2 , The present invention provides a clinical drug effect evaluation method based on big data, including big data establishment and operation evaluation. Big data establishment means the establishment of a patient evaluation system, and operation evaluation means that the patient fills in and runs the system in a standardized manner to determine the drug selection And drug dosage.

[0033] In this embodime...

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Abstract

The invention discloses a clinical drug effect evaluation method based on big data. The method comprises big data establishment and operation evaluation, big data establishment refers to establishmentof a patient evaluation system, and operation evaluation refers to standard filling and operation of the system by a patient and drug selection and drug dosage determination. The big data establishment comprises the following steps: (A) determining drug name and drug dosage; (B) recording diseases of a patient and the state of the patient; (C) establishing a corresponding drug-related CYP450 genepedigree; (D) recording the congenital evaluation of the patient; (E) recording a symptom evaluation report. The operation is easy; through similarity comparison, the drug and the drug dosage which are optimal with the disease condition of the patient can be accurately selected, it can be guaranteed that the patient is cured to the maximum extent, disease deterioration caused by mistaken selection of the drug or the drug dosage is avoided, the health of the patient is guaranteed, operation is convenient, and medical resources are saved.

Description

Technical field [0001] The invention belongs to the technical field of clinical drugs, and specifically relates to a clinical drug effect evaluation method based on big data. Background technique [0002] Drug clinical trials refer to any systematic studies of drugs conducted on humans (patients or healthy volunteers) to confirm or discover the clinical, pharmacological and / or other pharmacodynamic effects, adverse reactions and / or absorption of the test drug , Distribution, metabolism and excretion, the purpose is to determine the safety and effectiveness of the test drug. Drug clinical trials are an indispensable step to confirm the effectiveness and safety of new drugs. Conducting drug clinical trials requires the cooperation of a variety of professional and technical personnel. A good clinical research team should include not only professionals in medicine, pharmacy, pharmacology, biology, biostatistics, etc., but also experienced document managers who are not medical profes...

Claims

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Application Information

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IPC IPC(8): G16H70/40G16H50/70G06F16/9035G06F16/2457
CPCG06F16/2457G06F16/9035G16H50/70G16H70/40
Inventor 李泽平王雪灵陈彦霖陈诚刘欣然
Owner 李泽平
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