New major infectious disease early warning method based on LSTM algorithm

Abstract

The invention discloses a new major infectious disease early warning method based on an LSTM algorithm, belongs to the field of big data. According to the method, a new major infectious disease earlywarning platform based on the LSTM algorithm is built, and the platform comprises a data collection and processing system, a feature analysis and early warning index screening system, and a new majorinfectious disease early warning system. The invention provides a long-term and short-term memory artificial neural network early warning model based on a new major infectious disease attention mechanism to solve the technical problems that the number of cases in a single hospital early warning mode is limited, and research and judgment cannot be conducted on a local area. According to clinical case data, associated image data, medical examination data, remote consultation data and the like of patients, multi-time-scale pyramid structure time series data are constructed, and a long-term and short-term memory artificial neural network early warning model based on a new major infectious disease attention mechanism is constructed for the time series data of different scales. The early warningrequirements of different time sensitivity degrees are met, and the contradiction between the accuracy and the response time is balanced.

Description

technical field [0001] The invention belongs to the technical field of big data, and relates to an early warning method for new major infectious diseases based on LSTM algorithm. Background technique [0002] The uncertainty and unpredictability of new major infectious causes make it impossible for people to make timely decisions and take specific prevention and control measures, resulting in high fatality rates and seriously affecting social stability and economic development. Hygiene issue. [0003] Deep learning has developed rapidly in recent years and has been widely used in many practical fields such as computer vision, speech recognition, and medical diagnosis, especially in the fields of infectious disease monitoring and early warning. Using the powerful feature extraction ability of deep learning algorithms to realize the mining of massive clinical medical data and epidemiological data, and to discover the pathogenesis of potential emerging infectious diseases in t...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a new major infectious disease early warning method based on the LSTM algorithm, which solves the technical problem of the limited number of cases in the early warning mode of a single hospital and the inability to study and judge local areas

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