Medical artificial intelligence public training platform

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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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 analysis and processing due to the large amount of data and large differences in data types of medical big data, and to provide a medical artificial intelligence public training platform

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