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LOGO
LITERATURE REVIEW PROPOSAL
JAMES COOK AUSTRALIA INSTITUTE
OF HIGHER LEARNING
In SINGAPORE
Health diagnostic by analys...
Content
Topic introduction
Research problem
Background & Motive
Plans
Hồ Thị Hoàng Yến (jc13139122)
 Death every year : 56 millions people (2012)
 Sickness cause : 68%
YES , WE CAN
 WHY ?
 Because it was “TOO LATE”
 C...
 Every sickness has a start point , when everything is very simple to heal
(necrotic wound, pneumonia,..)
 Patients who ...
 How to know when is your sickness
golden hour while you cannot visit the
hospital all the time ?
 Many researchers have...
 On the
medical side,
it is totally
possible to
soon discover
your health
problems
through facial
analysis.
Is it possibl...
Process & Problems
Server side :
Build a
symptoms data
warehouse
Client side :
Take face
image
Analysis the
photo if there...
Process & Problems
In this research, I’ll focus on privacy problem.
Solution
 Will people agree to share their personal sensitive
information as photos and health condition ?
=> Make it bec...
Plans
 Week 1 : Choosing topic & research problems
 Week 2 : Research from articles related to the problem
 Week 3 : Pr...
References
 http://www.cdc.gov/
 Blow, O., Magliore, L., Claridge, J. A., Butler, K., & Young, J. S.
(1999). The golden ...
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Hồ Thị Hoàng Yến (jc13139122)
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Proposal presentation - Health diagnostic by face images

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This is a research proposal for topic: Health diagnostic by analysis face images using mobile device

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Proposal presentation - Health diagnostic by face images

  1. 1. LOGO LITERATURE REVIEW PROPOSAL JAMES COOK AUSTRALIA INSTITUTE OF HIGHER LEARNING In SINGAPORE Health diagnostic by analysing face images using mobile devices Instructor : Insu Song Student : Ho Thi Hoang Yen Email: hyenho91@gmail.com
  2. 2. Content Topic introduction Research problem Background & Motive Plans Hồ Thị Hoàng Yến (jc13139122)
  3. 3.  Death every year : 56 millions people (2012)  Sickness cause : 68% YES , WE CAN  WHY ?  Because it was “TOO LATE”  Can we decrease those number ? What’s happening in real life ?
  4. 4.  Every sickness has a start point , when everything is very simple to heal (necrotic wound, pneumonia,..)  Patients who arrived to the hospital within the “golden hour” of an injury or a sickness would be able to heal completely. Example: If ischemic stroke patients arrive to hospital Emergency Departments (EDs) within 60 minutes, the illness will be cured completely. What’s happening in real life ?
  5. 5.  How to know when is your sickness golden hour while you cannot visit the hospital all the time ?  Many researchers have spent years on the solution and one of the answers is “Facial analysis” – Health diagnostic by analysing face images using mobile devices. What’s happening in real life ?
  6. 6.  On the medical side, it is totally possible to soon discover your health problems through facial analysis. Is it possible ?
  7. 7. Process & Problems Server side : Build a symptoms data warehouse Client side : Take face image Analysis the photo if there is any symptom (server or client) BUT, there is still a long way from concept to application, we have to face many problems, example: - How fast the analysis can be with a huge database while the database becomes bigger and bigger by time? - Where should the database locate? On the cloud and receive the request from the client then process OR on the client side and need to be updated all the time? - Will people agree to share their personal sensitive information as photos and health condition?
  8. 8. Process & Problems In this research, I’ll focus on privacy problem.
  9. 9. Solution  Will people agree to share their personal sensitive information as photos and health condition ? => Make it become anonymous information  Solution: - Convert the photos into a different form that only computer can understand: a structured model ( ex: Hidden Markov Model or Haar-like Feature method,.. )
  10. 10. Plans  Week 1 : Choosing topic & research problems  Week 2 : Research from articles related to the problem  Week 3 : Prepare a proposal presentation  Week 4 – 10 : Research for solutions & writing report.  After week 10 : Review & Update.  Next 3 years : Solve almost all the major problems one after another in this topic , public a mobile health diagnostic program.  Further goal : Predict future coming diseases & solutions
  11. 11. References  http://www.cdc.gov/  Blow, O., Magliore, L., Claridge, J. A., Butler, K., & Young, J. S. (1999). The golden hour and the silver day: detection and correction of occult hypoperfusion within 24 hours improves outcome from major trauma. Journal of Trauma and Acute Care Surgery, 47(5), 964.  Nefian, A. V., & Hayes III, M. H. (1998). Hidden markov models for face recognition. choice, 1, 6.  Mita, T., Kaneko, T., & Hori, O. (2005). Joint haar-like features for face detection.  DeMyer, W., Zeman, W., & Palmer, C. G. (1964). The face predicts the brain: diagnostic significance of median facial anomalies for holoprosencephaly (arhinencephaly). Pediatrics, 34(2), 256-263.
  12. 12. LOGO Hồ Thị Hoàng Yến (jc13139122)

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