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Medicine research and development analysis application method and platform based on intelligent data model

An analysis application and data model technology, applied in the field of pharmaceutical research and development, can solve the problems of low efficiency of new drugs, lack of intelligent independent retrieval, and slow data acquisition and application methods of new drugs, so as to facilitate research and development and improve auxiliary efficiency.

Pending Publication Date: 2020-12-25
南京中爱人工智能与生命科学研究院有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, it is relatively inefficient to assist the research and development of new drugs only in the mode of collecting and acquiring historical drug use data in the past
[0004] Under the current existing technology, drug research and development combined with previous data retrieval does not have intelligent and independent retrieval, and analysts are required to quantitatively search and screen upstream or historical drug data with new drug development, and the means of retrieval and analysis is from various medicines or collection center to obtain data, therefore, it is a relatively slow method of data acquisition and application for the development of new drugs

Method used

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  • Medicine research and development analysis application method and platform based on intelligent data model
  • Medicine research and development analysis application method and platform based on intelligent data model
  • Medicine research and development analysis application method and platform based on intelligent data model

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Effect test

Embodiment 1

[0053] The present invention utilizes the cloud database marked by electronic tags for online identification and identification. Firstly, through searching and indexing the cloud database, matching lasso and sending the basic information data of the adaptive drug to the drug model output module, the qualitative adaptive drug is obtained. Basic information data can filter out irrelevant drug data in advance to avoid obstacles to drug information access. This part of the information data is related to the upstream drug data with the drug under development or the drug data of the same category, and has historical reference information value for the development of this type of new drug.

[0054] After using the pre-trained drug data neural network model to intelligently identify the above-mentioned adaptive drug basic information data, the trend drug information data that is very related to the new drug to be developed can be obtained, and the trend drug information data can be use...

Embodiment 2

[0090] The first aspect of the present invention is to propose a method for the analysis and application of medical research and development based on an intelligent data model, including the following steps:

[0091] S1. Set a cloud database including medicines and medicinal uses through electronic tags, and obtain basic information data of adaptive medicines from the smart medicine data platform by searching and indexing the cloud databases;

[0092] S2. Search and index the cloud database, match the lasso and send the basic information data of the adaptive drug to the drug model output module;

[0093] S3. Through the set drug data neural network model, perform trend output based on directional drug research and development for the input adaptive drug basic information data, and obtain trend drug information data;

[0094] S4. Receive the trending drug information data and qualitatively and quantitatively assist new drug trend research and development according to the trending...

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Abstract

The invention discloses a medicine research and development analysis application method and platform based on an intelligent data model. The method comprises the following steps: S1, setting a cloud database comprising medicines and medicinal purposes through an electronic tag, and obtaining adaptive medicine basic information data; S2, retrieving and indexing the cloud database, lassoing the matching attribute, and sending the adaptive drug basic information data to a medicine model output module; S3, acquiring tropism medicine information data through a set medicine data neural network model; and S4, receiving the tropism medicine information data and qualitatively and quantitatively assisting new medicine trend research and development according to the tropism medicine information data.After the medicine data neural network model trained in advance is adopted to intelligently identify the basic information data of the adaptive medicine, the tendency medicine information data extremely related to the new medicine to be researched and developed can be obtained, data support is provided for the new medicine, research and development of the new medicine are facilitated, and the research and development efficiency is improved.

Description

technical field [0001] This application relates to the technical field of pharmaceutical research and development, and specifically relates to an intelligent data model-based analytical application method and platform for pharmaceutical research and development. Background technique [0002] Drug research and development is an upgraded research and development of traditional or current drug-resistant drugs, and the process requires data analysis on previous drug data. [0003] However, it is relatively inefficient to assist the research and development of new drugs only in the mode of collecting and obtaining historical drug use data in the past. [0004] Under the current existing technology, drug research and development combined with previous data retrieval does not have intelligent independent retrieval, and analysts are required to quantitatively search and screen upstream or historical drug data with new drug development, and the means of retrieval and analysis is from...

Claims

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Application Information

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IPC IPC(8): G16C20/50G16C20/90G06F16/901
CPCG16C20/50G16C20/90G06F16/901
Inventor 夏飞
Owner 南京中爱人工智能与生命科学研究院有限公司
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