Zencode worked with a National Healthcare provider to run Natural Language Processing and Predictive Analytics models on healthcare data to improve prediction of preventible chronic illnesses, to achieve the national aim of a healthy people through targeted health campaigns.
From a national level this helps with reducing the burden on the taxpayer for subsidised healthcare and also allowing the government to…
target preventible illnesses with strategic campaigns to prevent onset of those chronic illnesses. This in turn ensures a happier population as there is less burden on individual households budgets with less illnesses.
Standard supervised learning techniques for prediction and prescriptive analytics. Zencode is experienced in classification techniques to find hidden insights from unstructured and structured data points. With an experienced team with proven work in Reinforcement Learning, Zencode built cognitive AI agents that helped sort through the millions of healthcare diagnostic records.
Zencode has expertise in understanding the context of data in different semantics, able to extract feature and model topics using standard algorithms like Latent Dirichlet Allocation (LDA); and using sentiment based analysis – eventually finding the right insights within diagnostic data from hospitals, clinics and private health clinics to give predictive data.