Tencent and Chinese scientists use deep learning to predict fatal COVID-19 cases

Tech houses around the world are in an overdrive to help battle the coronavirus pandemic. Research showed that 6. 5 % of COVID-1 9 patients can unexpectedly progress to serious illness, and among them the mortality rate can be as high-pitched as 49 %. Therefore one of the key tasks for health authorities is to identify and treat patients who may develop severe or fatal syndromes early on.

That’s what has been underway at a research team collectively established by Tencent AI Lab and a group of Chinese public health scientists headed by Zhong Nanshan, the country’s elderly medical advisor on COVID-1 9, since its inception in February .

This week, the team launched a depth learning-based framework that can predict the risk of coronavirus cases developing critical illness. The items were published in Nature Communications, portraying how the the lab bequeathed the pattern based on a cohort of 1590 cases from 575 medical centers in China, with further validation from 1393 patients.

The joint lab uttered the predictor available online,allowing clinical organization around the world to calculate cases’ likelihood of developing critical illness within 5, 10, and 30 periods applying ten clinical variables. While its immediate focus is on COVID-1 9, the lab’s long-term mission, “in ones own” messages, is to” exploit big-hearted data and AI for the screening, avoidance and control, and warning of eruptions, respiratory diseases and thoracic ailments .”

Other Chinese tech monsters have been taking up similar projects to contain the deadly virus. Consuming machine and deep study, Alibaba built a toolfor foundations to forecast the spread of COVID-1 9 with an suspect 90% accuracy pace. Baidu open-sourced an algorithm for viral structural analysis, claiming the process is 120 periods faster than the traditional method.

Tencent AI Lab is the tech behemoth’s effort to stay afloat in a scoot to develop cutting-edge technology alongside money-making firms such as video games and social networks. Launched in 2016, the research arm works on computer vision, speech recognition, natural language processing, and machine learning through a team of 70 research scientists and 300 operators .

The lab competes with its regional counterparts like Alibaba’s Damo Academy and Baidu Research to hunt down the world’s best AI subconscious. Often that necessitates hiring a well-established scientist to lure young aptitudes. In recent years, Baidu suffered from the retirement of Andrew Ng and Lu Qi, and Tencent AI Lab, too, lostits contributing digit Zhang Tong last year.

Read more: feedproxy.google.com

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