BIG DATA TO ARTIFICIAL INTELLIGENCE IN HEALTHCARE
AGENDA Why we study Big Data in healthcare system?
Big Data Sources and technique
Some Examples of Artificial Intelligence in Healthcare
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
4 V’S OF BIG DATA
PYRAMID FOR BIG DATA NEEDS
BIG DATA SOURCES & TECHNIQUES
FUTURE : ARTIFICIAL INTELLIGENCE
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.
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
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
