bigdata for healthcare
DESCRIPTION
healthcare machine learning big dataTRANSCRIPT
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Smart HealthcareSmart Healthcare
Chittaranjan Hota, Puspendra SinghBITS Pilani, Hyderabad Campus; IIIT, New Delhi
India-France Workshop in ICST (4th April, 2013)Indian Institute of Technology, Delhi
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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…
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Why Healthcare?Why Healthcare?
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Average growth rate in the last nine years has been 7.9%, Indian PM, March 7th, 2013
Still Concerns…Still Concerns…
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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.
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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
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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.
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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
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Few ExamplesFew ExamplesCrowd sourcing healthcare solutions@Harvard
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Diagnosis
Health Records
Healt
h D
ata
Tests Results
Sensors Physici
an
WAP Gateway
WAP Server
Hadoop Clusters
Health Data
HTML Server
Audio, Video Consultation
Electronic Drug Prescription
Proposed Architecture Proposed Architecture
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Application Application FrameworkFramework
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
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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
Ph
ase
s of D
eve
lop
me
nt
Packaging
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Thank You!