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DIG for Disease Informatics Group

DIG for Disease Informatics Group. RP Deolankar. oonnatie@yahoo.com. 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

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DIG for Disease Informatics Group

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  1. DIG for Disease Informatics Group RP Deolankar oonnatie@yahoo.com Smoking is injurious to health

  2. Honorable Mr. Bill Gates revolutionized IT industry

  3. Dr. Vijay Bhatkar proved to be supercomputer superman

  4. Prof. Kolaskar popularized bioinformatics

  5. Now, We are waiting for somebody To develop Disease Informatics. What it is?

  6. Wealth Lot of health can be acquired Because health is wealth      

  7. Measure If Health is wealth Then Fitness is money

  8. Health Currencies Say Fitness dollars Measures health F$

  9. Health Account Scene-1 Expenditure of F$ > Bank Balance in F$ Hardship!!! = Disease = Dis + Ease

  10. TIME BOMB Health Account Scene-2 Expenditure = Bank Balance No hardship No disease but Predisposed to the disease or Not really healthy

  11. 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$

  12. 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

  13. Definition of elephant by consensus panel http://www.wordinfo.info/words/index/info/view_unit/1/?letter=B&spage=3

  14. 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

  15. 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?”

  16. General Holistic definition of health Health is a state of Physical, Mental, Social, Emotional and Spiritual wellbeing and not merely the absence of disease

  17. Relevance of Health definition Doctors, Social Workers, Educationists and Spiritual Leaders contribute to the health of society and treat diseases

  18. 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

  19. Adding dynamism Let us say, Gaining health is a progression towards wellbeing and Loosing health is a progression towards disease

  20. Modern definition of health Hence, health is a process of gaining of Physical, Mental, Social, Emotional or Spiritual wellbeing

  21. Let us hope that we have defined health successfully

  22. Health happens to an individual Individual = % Wellbeing + % Disease Loosing the proportion of wellbeing is loosing the health and proportionally gaining the disease

  23. Health examination of an individual It is revealing certain events in the health history of an individual

  24. Three aspects of health examination • Attempts to hunt priors (Backend events) • Understand present (Current event) • Predict posteriors (Front-end events)

  25. Point on the curve Events are sections of chains in between ‘Wellbeing’ of an individual and ‘Disease’

  26. Ends of the chains are infinite Complete ‘wellbeing’ and complete ‘disease’ are difficult to define

  27. Events Movement of process from wellbeing to disease can thus be judged by events

  28. Events have depth too Mild Disease is different than Severe Disease

  29. 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

  30. 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

  31. 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.

  32. 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

  33. 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

  34. 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

  35. Factors are variables Most of the time, same factor could be risk or protective depending on its magnitude and deviation from homeostasis

  36. http://ajp.psychiatryonline.org/cgi/content/full/158/6/848/F1http://ajp.psychiatryonline.org/cgi/content/full/158/6/848/F1 Helena Chmura Kraemer

  37. Human individual Disease happens to an individual We need to understand What the human individual appears like? Baba Ramdev

  38. Model Human = Somatic body + Vitality + Mind + Intellect + Bliss

  39. Human body computer = Intellect (Central processing unit) + Self / Ego (Software) + Memory (Free space, Floppy/ Hard disk) + Mind/ senses (Program) + Life history (Data)

  40. Human microbial organs Gut associated microbiota organ Vagina associated microbiota organ Skin associated microbiota organ Prof. Stig Bengmark

  41. 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

  42. Let us summarise, What we have discussed about disease till now

  43. Point no. 1 Absence of perceptible disease may not be equated to health but lacunae in health is disease

  44. Point no. 2 Disease may not be apparent when predisposing events occur

  45. Point no. 3 In short, we all are walking on the path today that may result in disease of tomorrow

  46. Point no. 4 However, bypassing the disease is possible sometimes So as to avoid the diseases of tomorrow we must act today

  47. Point no. 5 Disease predisposing events may not be perceptible easily and may not get attention, however, are real stem of disease causal chain

  48. Point no.6 Disease is a relative phenomenon, could mean different to different thinkers, and errors could be rampant in defining the diseases

  49. Point number 7 Disease Informatics Group has to develop health-scoring system

  50. Point no. 8 If disease is present then Gravity of the disease matters

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