Quick Snapshot of our work in the field of Analytics- shot at the Healthcare IT Summit, Mumbai, India. What do we do there with Predictive analytics tools- serious work!! Predictive analytics (PA) uses technology and statistical methods to search through massive amounts of information, analyzing it to predict outcomes for individual patients. That information can include data from past treatment outcomes as well as the latest medical research published in peer-reviewed journals and databases. In medicine, predictions can range from responses to medications to hospital readmission rates. Examples are predicting infections from methods of suturing; understanding Patient’s patterns, bias and compliance; determining the likelihood of disease, helping a physician with a diagnosis, and even predicting future wellness. The statistical methods are called learning models because they can grow in precision with additional cases. There are two major ways in which PA differs fro...
#MachineLearning, #BigData analytics, #ArtificialIntelligence have made the space of #digital #health even more interesting. Emerging markets like India are taking on these learning and bringing exciting business models. This blog is about Dr Dass's involvement in such projects and case studies. more on www.healthcursor.com