"Big Data artificial intelligence to combat the epidemic quickly generate combat effectiveness" study notes

The fight against the epidemic  of artificial intelligence large data quickly generate combat

February 4, the Ministry of the initiative: full artificial intelligence enabling utility and work together in the fight against new outbreaks of pneumonia crown. Proposal put forward as soon as possible the use of artificial intelligence techniques padded short board epidemic control technology, industrial production and promote rapid application services; optimization of AI algorithms and calculation power, power sequencing virus, vaccine / drug discovery, screening protein drug development research.

Oncoming pneumonia novel coronavirus infection in torrents, businesses no exceptions. Prevention of war is a scientist and head-virus, and AI , big data, cloud computing and other new technology, are all aspects of the virus research, prevention and control techniques, vaccine research and development, information dissemination and other diseases play a role in the common fight for prevention of war victories.

3 meters away will be able to measure body temperature

in order to assist urban management at a critical time to achieve non-contact sensing, high efficiency traffic, high temperature smart alerts , February 2, located in the northern part of Beijing's Qinghe integrated transport hub high-speed rail station, landing more than the application of Baidu AI rapid detection of human body temperature solutions can make more than 200 people at the same time through a single channel within one minute and implemented temperature screening . Kuang temperature measurement system also depends AI Haidian Haidian District Government hall and expand the pilot portion subway station applications, by optimizing the solution, even if those contacts with masks caps, can achieve the rapid screening, identification error is within 0.3 deg.] C, greater than support 3 m noncontact temperature measurement distance, intelligent alarm system suspected heat bandwidth of one second 15, and a system can be deployed in channels 16, to ensure a substantially subway control. Reduce the number of front-line staff, as well as reduce the risk of infection.

At present, the epidemic prevention and control of high tension facing medical resources, the contradiction between supply and demand outstanding issues. For example nucleic acid kit has been in the "tight balance" the state, a large number of patients with mild symptoms did not show obvious need to fill the seats imaging diagnosis. January 28, Shanghai Public Health Clinical Center formally launched in accordance with the guidance of the "new crown pneumonia intelligent evaluation system" view of a medical development. Based on CT medical imaging system, it can be carried out from the new crown to its severity pneumonia in patients with pneumonia CT slice through the extraction of quantitative parameters automatically quantitative assessment . Doctors case of a conventional manual quantitative assessment of needs 5-6 hours, using the AI system only takes a few minutes.

Cloud services help drug development

operator force of cloud computing support is essential for virus gene sequencing, vaccine research and development. January 29, Ali cloud announced during the epidemic, free and open to all AI considered force global public research institutions to accelerate this new type of pneumonia, drug and vaccine development. At present, the Chinese Center for Disease Control has successfully isolated the virus, vaccine development and drug screening are still racing against time to carry out. During the research and development of new drugs and vaccines, the need for large amounts of data analysis, large-scale screening of literature and scientific supercomputing work . AI considered cloud services can provide power to support the viral genome sequencing, drug discovery, protein screening work to help research institutions to shorten the development cycle.

February 3, "national government service platform," the small micro-channel program formally launched the "new epidemic prevention and control of pneumonia topic", relying on Tencent cloud cloud computing capabilities to build a unified and standard data shared data management system - government cloud platform, providing a real-time dynamic, prevention, self-examination and provide medical guidance and other services, in order to strengthen the scientific epidemic prevention to contribute.

I let you connect large data

As the world's largest trading volume ticketing platform, has a mass of 12306 passenger travel data, after the outbreak, 12306 quickly launched the emergency mechanism, the use of real-name system for ticket sales advantage of big data, with the local government and all levels of prevention and control organizations to provide patients diagnosed with the car close contacts information. An interview with Xinhua News Agency, China Academy of Railway Sciences electronic Zhu Jiansheng, director of introduction: "In case of confirmed or suspected passengers on the train, we will be the transfer of passenger information, including trips, carriage rides and trips recent period, and passenger, with the purchase, fellow passenger information, such as front and rear row of seats 3 people, its the same person ticket orders, we will conduct analysis to extract information, and then provide follow-up treatment to the relevant epidemic prevention departments. "It is reported that currently provide a total of more than 200 batches of information.

Compared to 17 years ago, SARS, the Internet in particular, the role of big data in the course of the fight against this epidemic is especially evident: the latest epidemic dynamic information, various experts eliminating A puzzled, patient assistance and certification on social media, multi-platform epidemic prevention live science, as well as ordinary people help each other, big data going nowhere. Raise supplies, docking requirements, tell their stories, before the epidemic, no man is an island, and no one who could pull off the data.

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