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[News] Paradise Valley, a large investment in cloud data involved in completion of the new crown pne

Date: 2020-02-14
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Recently, led by the Guangzhou Institute of Respiratory Health, federated cloud data, a large number of units of the new crown pneumonia epidemic conducted a comprehensive study. Guangzhou Institute of Respiratory Health was founded by academician Zhong Nanshan, a respiratory disease State Key Laboratory, National Research Center for respiratory diseases in clinical medicine, national high-level group of experts, scientific research group leader unit. Yunchuang big data is an excellent application of artificial intelligence in the enterprise Paradise Valley in August 2017 to PE fund investments.

In cooperation with the Guangzhou Institute of Respiratory Health, Dr. Tsinghua University, director of the Artificial Intelligence Expert Committee of China data applications league, president of the Nanjing Institute data, creating a large cloud data, Professor Liu Peng, president of Big Data technology to create cloud team - Cao Liu, Shen Dawei, strong high school, Cao Xudong Luo Yifeng, when Chen Hao, Zheng Shengjie, a new type of coronavirus involved in research and development of artificial intelligence to predict.

In this project, creating a large cloud data technical team of soldiers divided into two groups, one group using the improved classical model, the research on artificial intelligence technology to another group, is intended to make an accurate prediction of the development trend of the epidemic. The research team composed of several units fighting through the night, has achieved initial results, and on the evening of February 12 made a report to the academician Zhong Nanshan.

Comparing the predicted model approach

SEIR

R0 values estimated propagation modeling as well as a classic model SEIR model of infectious disease dynamics, but also is widely used in the novel coronavirus (2019-nCov) of.

PS-SEIR

SEIR model is based on the flow of people (Population Shift, PS) of: (1) fully into account the impact of population during the Spring Festival brought a lot of liquidity. (2) β consider a government management efforts and population movements.

SEIR-LSTM

LSTM is a special loop neural network, for processing and time series prediction various problems.

SEIR-LSTM based on the 2003 SARS virus infection statistics, use SEIR propagation coefficient R0, the latency parameters, contact rate is adjusted to obtain basic training data set, and the establishment of LSTM time series model to learn the spread of virus, in order to predict 2019 -nCoV virus infection process.

As a large data storage and intelligent processing at the core of the development of high-tech enterprises, we are committed to the cloud, a large data networking, cloud computing, big data and practice and application of artificial intelligence technology in all walks of life, and always put the 'use technology optimization of the world 'as the goal.


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