Modeling Ontology-Driven Healthcare Data over NoSQL Solutions
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  Mahesh Chaudhari   Mahesh Chaudhari
Senior Systems Architect
Zephyr Health
http://maheshchaudhari.com/
 


 

Tuesday, August 18, 2015
03:00 PM - 03:45 PM

Level:  Technical - Introductory


Visualizing large-scale data in health care is becoming one of the complicated challenges in the big data community. Challenges arise from the heterogeneous and unstructured nature of data as well as complex relationships between different entities. At Zephyr Health, we address these problems by integrating disparate, heterogeneous data sources for deriving analytics and meaningful insights from the data. We have designed ontology that contains vocabulary and taxonomy specifically for pharm-world focusing on integrating disparate heterogeneous datasets. The Zephyr Analytics Platform provides a strong foundation based on adaptive entity-attribute model built over MongoDB and Neo4j.

In this presentation the audience will learn about:

  • Composing entity-attribute-value composition model in MongoDB and Neo4j
  • A flexible and efficient way to organize the data for big set operations
  • Combining relevant information for each entity and storing the 360-view of the profiles in MongoDB
  • Connecting heterogeneous data using machine learning algorithms and fuzzy logic

Dr. Mahesh Chaudhari is Senior Systems Architect at Zephyr Health Inc. since September 2012. His primary responsibilities involve data modeling and integration, ontology development, algorithm design and incorporation into Zephyr Platform. He has a Ph.D. in Computer Science from Arizona State University where he has focused on incremental view maintenance of views defined over loosely-coupled heterogeneous data sources. He has extensive research experience in relational, object-relational, XML databases with query processing and optimization. He has one principal NSF grant at ASU since 2008 and one supplemental grant from NSF since 2011 supporting undergraduate research in database curriculum, benchmark and performance evaluation. He has 2 years of teaching experience and a recipient of PFF Emeriti Fellow for the academic year of 2009-2010 for excellence in research, teaching & mentorship. In his spare time, he enjoying photography, music and nature.


   
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