Interactive Patient Data Powered by Machine Learning
The client had a significant amount of patient data from clinical studies, which came either from in-house studies or studies of acquired companies. The overall dataset exhibited heterogeneity, encompassing a diverse array of features such as demographic details, vital statistics, treatment history, medication records, lab results, etc. The process of retrieving specific information from this dataset was manual, entailing significant time and effort investment.
Industry : Life Sciences
