from the it's-like-predator dept.
the_newsbeagle writes: Outbreaks of infectious diseases like Ebola follow a depressing pattern: People start to get sick, public health authorities get wind of the situation, and an all-out scramble begins to determine where the disease started and how it's spreading. Barbara Han, a code-writing ecologist, hopes her algorithms will put an end to that reactive model. She wants to predict outbreaks and enable authorities to prevent the next pandemic. Han takes a big-data approach, using a machine-learning AI to identify the wild animal species that carry zoonotic diseases and transmit them to humans.
e-credibility: the non-guaranteeable likelihood that the electronic data
you're seeing is genuine rather than somebody's made-up crap.
- Karl Lehenbauer