There is a tremendous amount of energy focused on the potential for predictive analytics to transform healthcare. Many companies – both large and small – are entering the space, selling applications that utilize either a unique technology (such as deep learning or cognitive computing) or make use of novel data from molecular assays or mobile devices.
These solutions seem capable of addressing endless questions and utilize tremendously powerful technical tools.
However, the biggest challenge facing developers of healthcare-specific predictive models is not technical.
To read the full article, click here.