big data to artificial intelligence in healthcare
TRANSCRIPT
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BIG DATA TO ARTIFICIAL INTELLIGENCE IN HEALTHCARE
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AGENDA Why we study Big Data in healthcare system?
Big Data Sources and technique
Some Examples of Artificial Intelligence in Healthcare
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NEED FOR BIG DATA? Electronic health data sets are large,
continuously growing, complex, difficult to manage with traditional software
90% Unstructured Data
25 X as much data over coming decade(One Exabyte by 2020) -Kaiser
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4 V’S OF BIG DATA
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PYRAMID FOR BIG DATA NEEDS
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BIG DATA SOURCES & TECHNIQUES
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FUTURE : ARTIFICIAL INTELLIGENCE
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Designing treatment plans:
IBM Watson launched program for oncologists
Provides evidence-based treatment options
Assisting repetitive jobs:
Medical Sieve : Next generation “cognitive assistant” with analytical, reasoning capabilities and wide range of clinical knowledge.
Assist clinical decision making in radiology and cardiology.
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Health assistance and medication management:AiCure App supported by The National Institutes of
Health is a HIPAA-compliant software Use smartphone’s webcam and AI to autonomously
confirm that patients are adhering to their prescriptions
Precision medicine:
Deep Genomics aims at identifying patterns in huge data sets of genetic information and medical record
Tell doctors what will happen within a cell when DNA is altered by genetic variation
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CONCLUSION Stephen Hawking said that development of full
artificial intelligence could spell the end of the human race
Unraveling Big Data : make right decision at right time for right patients
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