healthcare machine learning big data

1. Smart HealthcareSmart Healthcare
Chittaranjan Hota, Puspendra Singh
BITS Pilani, Hyderabad Campus; IIIT, New Delhi
India-France Workshop in ICST (4th
April, 2013)
Indian Institute of Technology, Delhi

2. CollaboratorsCollaborators
Dr. Pushpendra Singh (Assistant Professor, IIIT-
Delhi)
Dr. Suman Kapur (Professor, Biological Sc.
Department, BITS Hyderabad)
Mr. R Sampath (CEO, BeWo Technologies, Bangalore)
Looking for collaborations from France…

3. Why Healthcare?Why Healthcare?

4. Average growth rate in the last nine years has been 7.9%,
Indian PM, March 7th
, 2013
Still Concerns…Still Concerns…

5. High-throughput blood pressure systems: Systems that can measure the blood
pressure of a large number of individuals. Measurement should integrate with a
routine daily activity.
Objectives
•to raise awareness of the causes and
consequences of high blood pressure
•to provide information on how to prevent high
b.p and related complications
•to encourage self-care to prevent high blood
pressureHigh BP 1 in 3 adults worldwide
Chronic disease: Diabetes would cause maximum deaths amongst other chronic
diseases from a total of 60 million deaths because of chronic diseases in India,
WHO, Registrar general of India, etc.

6. Mobile ClinicsMobile Clinics
Siemens sanjeevan mobile clinic
Gurgaon
108 service, Andhra
Pradesh, Gujarat, Tamil
Nadu,…
Aidstar-one, Nagpur Rajbhra Ltd, New Delhi smilefoundationindia.org
www.impactindia.org

7. Mobile HealthcareMobile Healthcare
Sehat Saathi, MediaLabAsia
• An estimated 500 million people worldwide are expected to be using mobile healthcare
applications by 2015, Reasearch2Guidance, Nov 2010.
• There were nearly 17,000 health apps available in major app stores in November 2010, with
57% of them being aimed at consumers, Reasearch2Guidance.

8. Why Social Media?Why Social Media?
SM Analysis of FB Pages
• 60 Million Americans exchanged their medical
experiences online with each other last year.
• Almost 72 % of patients searched for online
information before or after a doctor visit.
• 890 hospitals in the US used social media to engage
with their patients, ebennett.org/hsnl/
Image Source: Wipro report

9. Few ExamplesFew Examples
Crowd sourcing healthcare
solutions@Harvard

10. Diagnosis
Health
Records
HealthData
Tests Results
Sensors
Physicia
n
WAP
Gateway
WAP
Server
Hadoop Clusters
Health
Data
HTML
Server
Audio, Video
Consultation
Electronic Drug Prescription
Proposed ArchitectureProposed Architecture

11. Application FrameworkApplication Framework
Input Data
Blood Sugar
Heart Beat
HDFS
Recording
Peers
Peers
Blood
Pressure,
Kidney
failure,
Blindness
HistoryMySQL
Map reduce
Patient
Health Care Social
Networks
Business
Intelligence

12. TimelineTimeline
0 6 12 18 24 30 36
Literature Review
Modeling of Devices
Development of Devices
Development of
Software
Testing and Validation
of System
Time in Months
PhasesofDevelopment
Packaging

13. Thank You!