Reducing contagion - Ping An’s AI team in China can now predict flu outbreaks with 90 per cent accuracy
- Ping An is looking at disease prevention, especially illnesses that are contagious like flu or lifestyle-related, such as heart disease or diabetes
One avenue being pursued is the prevention of disease in the first place, especially illnesses that are contagious like flu or lifestyle-related, such as diabetes and heart disease.
“Disease prevention and control has been a high priority for national health systems across the world,” said Xiao Jing, chief scientist at Ping An Group, in a recent interview. “If we can spot the risk at a preliminary stage and make early treatment, it will not only alleviate the suffering of patents but also lower overall medical expenses.”
![Xiao Jing, chief scientist of Ping An Group, speaks at the Shanghai World Artificial Intelligence Conference in late August.Photo: Handout Xiao Jing, chief scientist of Ping An Group, speaks at the Shanghai World Artificial Intelligence Conference in late August.Photo: Handout](https://img.i-scmp.com/cdn-cgi/image/fit=contain,width=1024,format=auto/sites/default/files/d8/images/methode/2019/09/22/1fbdccac-db5b-11e9-80eb-3aa57b6d2433_1320x770_145234.jpg)
Backed by deep learning technologies, the prediction models use case reports from participating hospitals, historical data from regional health authorities and meteorological and environmental statistics.
The resultant predictions – such as the probability of a flu or foot-and-mouth disease outbreak – can then be circulated as warning alerts on apps used by relevant city authorities, said Xiao.
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