Big Data to Artificial Intelligence in Healthcare

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