SXSW 2020
Health Analytics: Big-Data-Healthcare-in-a-Box
Description:
In this session we will present a novel big-data framework for healthcare applications. Healthcare data is well suited for big-data processing and analytics because of the variety, veracity and volume of these types of data. In recent times, many areas within healthcare have been identified that can directly benefit from such treatment. However, setting up these types of computer architectures is not trivial. We present a novel approach of building a big-data framework that can be adapted to a wide variety of healthcare applications with relative use, making this a one-stop “Big-Data-Healthcare-in-a-Box”. Details, uses and application of this valuable technology will be presented and discussed.
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Additional Supporting Materials
Takeaways
- Healthcare data has exploded as to volume, variety, and velocity, and methods of capturing, normalizing, processing and extracting meaning are limited
- Advances in computational strategies have allowed construction of a data mining application architecture and framework to extract meaning and value
- We have designed a universally applicable, user friendly computational system, adaptable to a wide range of health data, Big-Data-Healthcare-in-a-Box
Speakers
- Fuad Rahman, Founder and CEO, Apurba Technologies
- Marvin Slepian, Founder & Director, Arizona Center for Accelerated Biomedical Innovation; Regents’ Professor with 4 professorships: Medicine & Medical Imaging, Materials Science & Engineering, Clinical & Industrial Affairs; Member, Sarver Heart Center and BIO5 Institute, The University of Arizona
Organizer
Misha Harrison, Dir, Creative Services & Brand Mgmt, The University Of Arizona
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