Natural Language Processing for designing voice assistant for healthcare systems
MEGHANA MEGHANA, ASHWIN KULKARNI, KIRTI KESKAR, SAMEER BHALE, SUMEDH SHARANGDHAR, VIVEK KSHIRSAGAR · 2018
In the world of having everything in our pocket, we have developed a technology (product) which leverages the power of networking, artificial intelligence, data mining in a single package to revolutionize the traditional way of handling health data.Using the most convenient way of interacting with a device which is voice recognition we are trying to eliminate a range of documents, which leads to minimum human interference in the whole process of healthcare and we are collecting unstructured health data of a consumer (patient).Hence, by applying techniques of Natural Language Processing we are analyzing and extracting meaningful data from the narrated input.Our algorithm will enable clinicians to retrieve the information of a patient in the most precise format.Our product facilitates one another part of recognizing consumers' health-related need and suggest suitable, trusted and predicted (easily available) solution for it using well organized pharmaceutical data set.For a massive data set (history) this algorithm can be further implemented on block-chain technique.