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Description

In this study we researched using Natural Language Processing (NLP) and machine learning techniques to build a clinical support system geared toward diagnosing and managing diabetes. The NLP tool (1) semantically process research publications (PubMed, curated social/electronic media); (2) using bibliometric and co-citation indexes (e.g., h-index), identifies reputed research and diagnostic methods for diabetes, and generates semantically similar papers from our data set (PubMed and social/electronic media publications)

Describe the new knowledge and additional skills the participant will gain after attending your presentation.: Pariticipants will learn about a novel method to summarize medical documents and generate summarized reports based on high impact authors and publications using Natural Language Processing methods.

Authors:

Aman Kumar (Presenter)
BCL Technologies

Hassan Alam, BCL Technologies
Tina Werner, BCL Technologies
Manan Vyas, BCL Technologies

Presentation Materials:

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