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Childhood pneumonia is the number one killer of children under the age of five worldwide.  The disease is a particular challenge for those living in developing countries, where there is a lack of clinical expertise and appropriate equipment to diagnose the disease.  Adopting a technique called machine learning, scientists at Oxford University have taken clinical data from children with pneumonia to ‘teach’ a machine to identify critical symptoms and diagnose future cases.  This machine can be something as easily distributed as a mobile phone, giving those who don’t have easy access to doctors a simple way to assess a child’s condition.  Claire Armstrong spoke to Elina Naydenova to hear how.
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