Natural Language Processing for designing voice assistant for healthcare systems

MEGHANA, NAGORI and ASHWIN, KULKARNI and KIRTI, KESKAR and SAMEER, BHALE and SUMEDH, SHARANGDHAR and VIVEK, KSHIRSAGAR (2018) Natural Language Processing for designing voice assistant for healthcare systems. In: Sixth International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018, 28-29 April, 2018, Zurich, Switzerland.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Networking, Artificial Intelligence, Data Mining, Voice Recognition, Healthcare, Natural Language Processing.
Depositing User: Mr. John Steve
Date Deposited: 08 Mar 2019 14:54
Last Modified: 08 Mar 2019 14:54

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