خورازمية كمبيوترية توقعت وعرفت إنتشار الإيبولا قبل ما منظمة الصحة العالمية تعرف أو تعلن عنه ب9 أيام! Nine days before the World Health Organization announced the African Ebola outbreak now making headlines, an algorithm had already spotted it. HealthMap, a data-driven mapping tool developed out of Boston Childrens Hospital, detected a mystery hemorrhagic fever after mining thousands of web-based data sources for clues. Those data sources include news reports, social media, international health organizations, government websites, and even the personal blogs of health care workers operating in affected areas. As anyone whos ever looked at the Internet knows, any bulk consumption of web content is bound to scoop up tons of noise, especially when sources like Twitter and blogs are involved. To cope with this, HealthMap applies a machine learning algorithm to filter out irrelevant information like posts about Bieber fever or uses of terms like infection and outbreak that dont pertain to actual public health events. #SciTech
Posted on: Thu, 14 Aug 2014 09:48:08 +0000
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