Medical artificial intelligence public training platform

A training platform and artificial intelligence technology, applied in medical automated diagnosis, computer-aided medical procedures, medical informatics, etc., can solve the problems of large medical data volume, large consumption of manpower and material resources, large differences in data types, etc., to achieve calculation Simplicity, sufficient preparation time, and the effect of improving accuracy

Pending Publication Date: 2020-01-31
上海华东电信研究院
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem in the prior art that a lot of manpower and material resources are consumed and time-consuming in the process of data

Method used

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  • Medical artificial intelligence public training platform

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Example Embodiment

[0031] The present invention will be further described below in combination with specific embodiments. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0032] A medical artificial intelligence public training platform, such as figure 1 As shown, including data acquisition module, data analysis system, disease database, application service system and big data management center platform;

[0033] The data acquisition module is used to collect medical data and send it to the data analysis system; the data acquisition module is connected with the hospital information syste...

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Abstract

The invention relates to a medical artificial intelligence public training platform. The platform comprises a data acquisition module, a data analysis system and a disease database, wherein the data analysis system is used for calling a prediction model matched with a feature field of medical data in an automatic field comparison mode, or automatically establishing the prediction model when the matched prediction model does not exist, then inputting features of the medical data into the prediction model, and outputting disease types or morbidity probability by the prediction model; wherein theprocess of automatically establishing the prediction model is the process of continuously adjusting parameters of the algorithm model by taking the characteristics of the medical data as the input ofthe algorithm model and the corresponding disease type or disease probability is taken as the theoretical output of the algorithm model. According to the medical artificial intelligence public training platform, the time for data preparation and data modeling is greatly shortened, and the dependence of the modeling process on statistics families and IT experts is reduced; and the medical artificial intelligence public training platform can be suitable for modeling, diagnosis and prediction of numerous medical big data business scenes.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, is the application of artificial intelligence in the field of medical big data analysis, and relates to a public training platform for medical artificial intelligence. Background technique [0002] The development of the information age is accompanied by the generation of massive data. The application of big data has penetrated into many fields such as people's travel, consumption, entertainment, and public safety. These data reflect social laws and individual characteristics, and are an important strategic resource, which can be compared with natural resources. In terms of health and medical treatment, China has a large population and is also a country with a large medical demand. General medical institutions generate 1TB to 20TB of data per year on average, and some large hospitals can even generate 300TB to 1PB of data. [0003] However, at present, the processing and applic...

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Application Information

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IPC IPC(8): G16H50/20G16H50/30
CPCG16H50/20G16H50/30
Inventor 刘晶晶陈俊琰郑忠斌孙明霞
Owner 上海华东电信研究院
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