U S N Murty,

naivenorthAI and Robotics

Nov 8, 2013 (3 years and 11 months ago)

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U S N
Murty,
PhD, FRES (London)


Chief Scientist

Head, Biology Division

CSIR
-

Indian
Institute of Chemical Technology

Hyderabad 500007


(I
3
Technology)

Innovative IT approach for Integrated
Mosquito Management

Indian

healthcare

industry

is

$
65

billion

and

is

expected

to

reach

to

$
100

billion

by

2015
.



Services

such

as

telemedicine

utilise

Information

and

Communications

Technology

(ICT)

and

are

increasingly

being

offered

by

a

large

number

of

medical

institutes


The

2012
-
13

Budget

has

allocated

increased

funds

for

the

National

Rural

Health

Mission

(NRHM)

to

the

tune

of

$
4
.
14

billion

in

the

current

fiscal

year,

subsequently

announcing

the

launch

of

National

Urban

Health

Mission,

a

scheme

for

the

urban

poor
.

.



Public

private

partnership

is

another

trend,

or

rather

a

collaborative

effort,

that

is

required

for

healthcare

facilities

to

reach

remote

areas

in

India


Existing

IT

solutions

in

Health

care

in

India

:


*

Hospital

Management

Information

System

(HIS)



*

Laboratory

Information

System

(LIS)


*

Radiology

Information

System

(RIS)


*

Blood

Bank

Information

System

(BIS)


Major challenges in IT transformation into
Health sector


Huge

amount

of

data,

little

information

and

no

knowledge




Poor

adaptation

of

health

officials

and

reluctant

to

move

from

traditional

to

modern

system



Not

much

importance

is

given

for

quick

communication

like

out

break

info,

out

reach

program

etc
.
,




Practically

no

ready

made

solutions

are

available

on

advanced

forecasting

system

to

predict

the

outbreak

of

diseases

which

need

to

be

look

into

seriously

by

the

government
.

Major challenges in IT transformation
into Health sector


Fragmented

innovation

in

Health

Research



Limitations

in

sharing

the

data

due

to

several

factors



Many

hurdles

from

Innovation

to

Implementation
.



Major

set

back

is

ego

to

join

hands

for

interdisciplinary

project
.

About India

* Source : www.who.int/countries/ind/e : WHO statistics 2008

Gross

National

Income

per

capita


(PPP

international

$
)

3
,
800
.


Life

expectancy

at

birth

m/f

:

62
/
64
.


Healthy

life

expectancy

at

birth

m/f

53
/
54
.


Probability

of

dying

under

5

(per

1
,
000

live

births)

76
.


Probability

of

dying

under

15
-
60

years

m/f


(per

1
,
000

population)

276
/
203
.


Expenditure

on

Health

per

capita

$

100
.


Expenditure

on

Health

as

%

of

GDP

:

5
.

Potential ICT to improve Health care

65

%

of

1100

million

are

literate

60
%

of

rural

India

has

access

to

TV

coverage

650
,

000

existing

PCOc

internet

kioskis

400
,

000

villages

already

have

telephone

connections
.

Mobile

users

in

India

is

15
.
64

million
.

Internet

users

in

India

45

Million

Level



Public



Private

Primary PHCs and its sub centers Traditional


Secondary District Hospitals Private Clinics







Small nursing homes



Tertiary Teaching hospitals Private clinics







Nursing homes







Corporate hospitals


Health care India

Burden of Diseases

The disease burden for India for all age groups

Expenditure on Health

Expenditure without objective!*

37
(DPR Korea)

8

Nurses/ 10,000

32
(DPR Korea)

59
(Cuba)

7

Doctors/10,000

132
(DPR Korea)

196
(Monaco)

9

Beds/ 10,000

364
(Maldives)

5711
(USA)

27

Per capita (US $)

9.6
(Timor
-
Leste)

15.2
(USA)

4.6

Percent of GDP

Highest in
Region

Highest in
World

India
*

Exp on Health



Heterogeneous Population
>


1.2 billon



Different Ethnic Groups



Endogamous tribal population


(conserved gene pool)




>

200 Medical Colleges



>400 Research Institutes



>350 Universities



11,500 hospitals and 14,000


diagnostic laboratories



50 R&D labs in the public sector &


200 in Govt. Sector



1.5 lac sub
-
centres,



23,000 primary health centres,



4000 community health centres



1,600 urban family welfare centres


Biomedical Research


Strength India

Mosquito/Vector borne diseases

Major Vector Borne Diseases in

North East India

Malaria


Japanese

encephalitis

Dengue

Filariasis


The major vector borne disease in

North East India are:

Chronic Cases of filariasis


257

(
55
%
)

districts

are

shown

to

be

endemic
.


Population

at

Risk

(NFCP

estimates)

-

429
.
3

million


Rs

700

crores

loss

per

annum

IICT contributions in

Management of

Mosquito Borne Diseases

Web based Filariasis database
-
Home Page

Murty et al PLOS One, 2012 (IF 4.5)

Malaria database
-
Home Page

Copy Right No. SW
-
3048/2006.

Murty et al Bioinformation 1(6), 194
-
196.

Dr. USN Murty Project Leader, Biology Division IICT and Sri.
Rakesh Sharma, COA, IICT receiving the award of excellence
from the Hon

扬b 䵩湩獴M爠景爠䡥慬H栠☠䙡&楬i W敬晡牥r卲椮S䌮C䌮C
卩湧S桯h䝯癴⸠佦O䅲畮慣桡h 偲慤敳h


Appreciation from

Govt. of Arunachal Pradesh

Received

eNorth

East

award
-
2011

for

Database

Management

System

on

Malaria

and

Geographical

Information

System

(GIS)

for

management

of

Malaria

in

Arunachal

Pradesh
.

JE database
-
Home Page

EXPERT SYSTEM FOR THE IDENTIFICATION OF
MALARIA VECTORS

Copy Right File no: Sci (2002) PT
-
394

Murty USN et al:
CABIOS. Vol.12. No.6, 491
-
495 (IF 6.5)

Sponsored by DRL Tezpur DRDO (Rs.5.0 lakhs)

EXPERT SYSTEM FOR THE IDENTIFICATION OF SOUTH
EAST ASIAN CULEX MOSQUITOES

Copy Right File no: Sci (2008)

Bioinformation 1(2), 40
-
41

A Web based Application for calculating

Aerodynamic Properties of Fliers

Home Page

About

the

program


The

software

is

user

friendly,

operationally

feasible,

open

ended

and

an

excellent

program

to

calculate

aerodynamic

properties
.



By

giving

six

input

parameters

of

N

no
.

of

sets

(both

male

and

female

data)

results

of

each

individual

will

be

generated

in

four

tables

with

average

values
.




Final

results

can

be

tabulated

from

the

average

values
.

PUBLICATION

Classification and identification of mosquito
sps. using ANN

UNCOVER HIDDEN INFORMATION THROUGH


DATA MINING


We have lots of data!

We have no knowledge!

(how to extract knowledge from data)

We have little information!

(Users expect more sophisticated information)

Self Organizing Maps (SOM)


Self
-
organizing

maps

(SOMs)

are

a

data

clustering

technique

invented

by

Professor

Teuvo

Kohonen

of

Helsinki

University

of

Technology,

Finland,

in

1960

s

w桩hh

牥r畣e

瑨e

摩d敮e楯湳



摡da

瑨t潵oh

t桥

u獥



獥sf
-
o牧慮r穩ng

n敵牡e

networks
.




In

SOM

the

neurons

are

organized

in

a

lattice,

usually

a

one

or

two
-
dimensional

array,

which

is

placed

in

the

input

space

and

is

spanned

over

the

inputs

distribution



Using

a

two
-
dimensional

SOM

network

it

is

possible

to

obtain

a

map

of

input

space

where

closeness

between

units

or

clusters

in

the

map

represents

closeness

of

the

input

vectors
.




The

main

applications

of

the

SOM

is

the

visualization

of

high
-
dimensional

data

in

a

two

dimensional

manner,

and

the

creation

of

abstractions

like

in

many

clustering

techniques
.

Data

clustered

on

a

3
x
3

grid

using

SOM
.

Scale:


0



1

Data

clustered

on

a

3
x
3

grid

using

SOM
.

Scale:

0



1

3.2

3.3

Data

clustered

on

a

3
x
3

grid

using

SOM
.

Project leader Dr.USN Murty handing over the filariasis
database to the District Malaria Officer, Chittoor,
Andhra Pradesh.


SOM

technology transferred
to NVBDCP , Ministry of
Health and FW Govt. India
letter of Invitation for
preliminary studies

FMVS Technology handed over to
Govt. of Andhra Pradesh

API 2007

API 2008

API 2009

Malaria Monitoring Visualization System (MMVS) for
Arunachal Pradesh

Spatial

mapping

of

malaria

endemic

regions

in

Arunachal

Pradesh
.

The

technology

is

ready

to

transfer

to

Govt
.

of

Arunachal

Pradesh

Filariasis Monitoring Visualization System (FMVS)

PLOS neglected Tropical Diseases, 2010

JE Patient

(Source
-
NIV)

Japanese encephalitis in North East

JE affected children

(Source:www.rediff.com)


The

algorithm

used

to

predict

the

PMHD

of


mosquitoes

is

a

slightly

modified

of

the

Bayesian

network

algorithm
.



This

algorithm

tries

to

calculate

the

mosquito

population

which

can

occur

with

maximum

likelihood
.




In

our

algorithm

instead

of

using

the

traditional

probability

values

for

each

event,

We

use

a

measure

of

the

likelihood

of

the

occurrence

of

an

event
.


JEBNET

The Byesian network for the given file.

Work Highlighted in Lancet Infectious Diseases 2004

DENGUE

Example of a skin rash due
to dengue fever

DHF

Close
-
up of an Aedes
mosquito

Dengue

Dengue Decision Support System
-
Home Page

Sponsored by DBT Rs. 15 lakhs

CSIR climate network

Meteorological tower at IICT
Hyderabad campus:


The

30

mts

Meteorological

Tower

with

biosensors

has

been

installed

in

IICT



CGP

Complex

at

Moulali

Hyderabad
.


Data receiver &
recorder

Data receiver &
recorder

e
-
Atlas on Vector Borne Diseases


The

five

major

vector

borne

diseases

threatening

the

nation

s

楮晲慳瑲畣瑵牥

桡癥

扥敮

牥灯牴rd

獥s敲慬

w慹s



Visualization

of

epidemiological

parameters

is

crucial

for

region

or

state
-
wise

analysis



Geographical

Information

Systems

(GIS)

based

web

application

has

been

developed

to

solve

the

purpose


At

single

interface,

one
-
click

view

of

demographic

prevalence

of

the

diseases,

year
-
wise

increase

in

cases

and

maximum

mortality

could

be

viewed




Printable

form

of

year
-
wise

statistics

of

any

particular

state

and

any

of

the

five

diseases

considered

here

is

constituted
.

Map showing distribution of dengue in the
year
-
2002

ENVIS Centre @ Bioinformatics Vector Control

(www.iictenvis.nic.in)

D
I
S
S
E
M
I
N
A
T
I
O
N

C
E
N
T
R
E

Community Information Centers (CIC)


A new horizon of IT in NE

Initiated

in

2000
,

Established

487

CICs

in

2002

out

of

which

218

located

in

Assam

only

Community Information Centres (CICs): A
Boon for North East India


Remote

region

to

be

connected

to

national

mainstream

through

modern

technology

for

rapid

socio
-
economic

development




Rs
.

240

crores,

project

launched

in

April,

2000

Ministry

of

Information

Technology

in

all

the

487

blocks

of

the

region

with

the

objectives

to
:


Establish

IT

infrastructure

at

the

block

level


Create

IT

awareness

amongst

the

local

populace


Provide

internet

services

such

as

e
-
mail,

web

access,

etc


Conduct

computer

based

training

programmes


Provide

citizen

centric

services


Provide

access

to

socio
-
economic

databases


Facilitate

distance

education


Use

of

IT

tools

for

sustainable

regional

development
.

Indian Institute of Chemical Technology (CSIR)

Hyderabad

PARAM

10000

is

a

100
GF

parallel

computer

developed

by

C
-
DAC

and

it

has

40

compute

nodes

(quad

Ultra

processor,

SMP)

and

4

server

nodes
.


The

PARAM

10000

series

of

machines

are

powered

by

state
-
of
-
the
-
art

and

emergent

SUN

s

啬U牡印慲r

獥物ss



S敲e敲猯e潲k獴a瑩潮t

捯湦楧畲敤



䍯浰畴e

湯摥猬

䙩Fe

卥牶敲猬

䝲慰桩捳

湯n敳

慮a

䥮瑥牮整

卥牶敲

湯摥n
.

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湯摥n

慲a

楮t敲捯湮散瑥e

瑨牯畧t

P䅒䅍

湥t

a

桩杨

扡湤wid瑨t

low

污瑥ncy

湥nwo牫

d敳楧湥i


-
桯畳u

慮a

a

c桯楣h



潴桥o

桩杨

灥牦o牭慮re

湥nwor歳

獵捨



My物湥琬

䝩条G楴i

F慳t

䕴桥牮整

慮a

A呍
.

PARAM

Padma

the

latest

in

the

series

of

parallel

processing
-
based

High

Performance

computers

built

by

Centre

for

Development

of

Advanced

Computing

(CDAC),

The

teraflop

supercomputer

is

ten

times

more

powerful

than

the

PARAM

10000
,

which

is

India's

first

indigenously

developed

supercomputer
.

As

the

PARAM

Padma

can

perform

one

trillion

operations

in

one

second,

it

is

useful

in

industries

like

Bioinformatics,

Meteorology,

Oil

Exploration

and

corporations

that

manage

and

work

on

large

amounts

of

data
.

Indian Institute of Chemical Technology (CSIR)

Hyderabad

GARUDA is a National Grid Computing initiative by CDAC

Easy access and use friendly, More than one user can work simultaneously through network


GARUDA allows to use the resources that are available in any part of the country

It also allows the high end applications without any storage limitation

Future VBD Information on GARUDA in India

The way forward


On

specific

solutions,

cloud

computing

and

mobile

technology

is

an

essential

to

take

healthcare

to

the

next

level

across

India



Potential

utilization

of

existing

IT

infrastructure

to

reach

remote

people

living

in

rural

areas



IT

solutions

should

be

the

integral

part

of

e
-
governance

as

many

PHCs

and

district

health

administrations

are

well

connected
.

Impart

training

to

the

health

workers

on

basic

computers

for

necessary

report

generation

from

time

to

time
.



No

EGO

only

GO

Fight between Man and
Mosquito is an endless war

IICT

U S N Murthy
PhD FRES (London)

IICT, Hyderabad