slide1
Download
Skip this Video
Download Presentation
DIG for Disease Informatics Group

Loading in 2 Seconds...

play fullscreen
1 / 50

DIG for Disease Informatics Group - PowerPoint PPT Presentation


  • 268 Views
  • Uploaded on

DIG for Disease Informatics Group RP Deolankar [email protected] Smoking is injurious to health Honorable Mr. Bill Gates revolutionized IT industry Dr. Vijay Bhatkar proved to be supercomputer superman Prof. Kolaskar popularized bioinformatics Now, We are waiting for somebody

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'DIG for Disease Informatics Group' - Albert_Lan


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide1
DIG for Disease Informatics Group

RP Deolankar

[email protected]

Smoking is injurious to health

slide5
Now,

We are waiting for somebody

To develop Disease Informatics.

What it is?

slide6
Wealth

Lot of health can be acquired

Because health is wealth

     

slide7
Measure

If

Health is wealth

Then

Fitness is money

slide8
Health Currencies

Say

Fitness dollars

Measures health

F$

slide9
Health Account Scene-1

Expenditure of F$ > Bank Balance in F$

Hardship!!!

= Disease

= Dis + Ease

slide10
TIME BOMB

Health Account Scene-2

Expenditure = Bank Balance

No hardship

No disease but

Predisposed to the disease or

Not really healthy

slide11
Health Account Scene-3

Requirement 1 fitness dollar, Balance 10 fitness dollars

Comfortable, but

Poor than the one having 100 fitness dollars

Disease and health are quantitative concepts

Not quantal

Expressed in relative terms

100F$>10F$>1F$

slide12
Health Account Scene-4

Fakir without a dollar is

much happier than Millionaire

It is human

to make error in defining the disease

We seek, but never find, absolute truth

http://www.wordinfo.info/words/index/info/view_unit/1/?letter=B&spage=3

slide13
Definition of elephant by consensus panel

http://www.wordinfo.info/words/index/info/view_unit/1/?letter=B&spage=3

slide14
Last scene

Man laid 50% in oven and 50% in freezer

Not comfortable, on an average…

Both the gadgets must be tuned for the man

Disease and health are holistic concepts

20

200

-200

slide15
Health means whole

Old. English word. hælþ indicates wholeness

Whole is not finite and difficult to measure

Measurement of fitness is common

We can ask the question “Fit for what?”

slide16
General Holistic definition of health

Health is a state of

Physical, Mental, Social, Emotional and Spiritual wellbeing

and not merely the absence of disease

slide17
Relevance of Health definition

Doctors, Social Workers, Educationists and Spiritual Leaders

contribute to the health of society

and treat diseases

slide18
Limitation of the definition of health

Health is a STATE of… absence of disease

State indicates static

Health is dynamic, it flows, and it is a process

slide19
Adding dynamism

Let us say,

Gaining health is a progression towards wellbeing and

Loosing health is a progression towards disease

slide20
Modern definition of health

Hence, health is a process of gaining of

Physical, Mental, Social, Emotional or Spiritual wellbeing

slide22
Health happens to an individual

Individual = % Wellbeing + % Disease

Loosing the proportion of wellbeing is loosing the health

and proportionally gaining the disease

slide23
Health examination of an individual

It is revealing certain events

in the health history of

an individual

slide24
Three aspects of health examination
  • Attempts to hunt priors (Backend events)
  • Understand present (Current event)
  • Predict posteriors (Front-end events)
slide25
Point on the curve

Events are sections of

chains in between

‘Wellbeing’ of an individual and ‘Disease’

slide26
Ends of the chains are infinite

Complete ‘wellbeing’ and complete ‘disease’

are difficult to define

slide27
Events

Movement of process

from wellbeing to disease

can thus be judged by events

slide28
Events have depth too

Mild Disease is different than

Severe Disease

slide29
Disease causal chains

Events linked together form the Disease Causal Chain or Web

This chain can be reversed sometimes

http://bmj.bmjjournals.com/cgi/eletters/326/7394/865

slide30
S. No.

Outcome

Back event-1

Back enent-2

Back event-3

Back event-4

Back event-5

4a

DhVDa

VDa

Da

NC-

E

IdIL

UM

In: Ro

UM

4b

DhVDa

VDa

Da

NC-

E

IdIL

UM

In: NRo

UM

Disease Causal Chains can be presented in tabular format

http://bmj.bmjjournals.com/cgi/eletters/328/7443/811#105704

slide31
Database for events

The software should be derived to set aside the combination terms (anatomical + physiopathological) from MeSH database of NCBI. This will provide the database for events occurring in the DiCC.

slide32
Meta-analysis (Systematic Reviews)

Source of priors

It is practice of combining the results of a number of studies that address a set of related research hypotheses

Professor Archibald Leman Cochrane

http://www.cochrane.org/index.htm

slide33
Disease causal chains(DiCC)and Bayes

DiCC has priors and posteriors

It is cake of Bayesian rather than frequentists

Synthesize evidence from multiple sources

Pilot studies

Trials of similar interventions

Subjective judgments about the generalisability of the study's results

http://bmj.bmjjournals.com/cgi/content/full/319/7208/508

slide34
Factors

Certain factors are associated with movement of process

from wellbeing to disease,

which are known as risk factors or protective factors

depending on the direction of movement

slide35
Factors are variables

Most of the time, same factor could be risk or protective

depending on its magnitude and

deviation from homeostasis

slide37
Human individual

Disease happens to an individual

We need to understand

What the human individual appears like?

Baba Ramdev

slide38
Model Human =

Somatic body + Vitality + Mind + Intellect + Bliss

slide39
Human body computer =

Intellect (Central processing unit) + Self / Ego (Software) +

Memory (Free space, Floppy/ Hard disk) +

Mind/ senses (Program) + Life history (Data)

slide40
Human microbial organs

Gut associated microbiota organ

Vagina associated microbiota organ

Skin associated microbiota organ

Prof. Stig Bengmark

slide41
Study on human (Clinical Research)

To understand the disease of an individual

One has to understand the human and

His body computer

His associated organs

slide42
Let us summarise,

What we have discussed about disease till now

slide43
Point no. 1

Absence of perceptible disease may not be equated to health but lacunae in health is disease

slide44
Point no. 2

Disease may not be apparent when predisposing events occur

slide45
Point no. 3

In short, we all are walking on the path today that may result in disease of tomorrow

slide46
Point no. 4

However, bypassing the disease is possible sometimes

So as to avoid the diseases of tomorrow we must act today

slide47
Point no. 5

Disease predisposing events may not be perceptible easily and may not get attention, however, are real stem of disease causal chain

slide48
Point no.6

Disease is a relative phenomenon, could mean different to different thinkers, and errors could be rampant in defining the diseases

slide49
Point number 7

Disease Informatics Group has to develop health-scoring system

slide50
Point no. 8

If disease is present then

Gravity of the disease matters

ad