1 / 107

Medical data mining Linking diseases, drugs, and adverse reactions

Medical data mining Linking diseases, drugs, and adverse reactions. Lars Juhl Jensen. unstructured data. structured data. Jensen et al., Nature Reviews Genetics , 2012. individual hospitals. central registries. opt-out. opt-in. Danish registries. civil registration system. CPR number.

merv
Download Presentation

Medical data mining Linking diseases, drugs, and adverse reactions

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. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Medical data miningLinking diseases, drugs, and adverse reactions Lars Juhl Jensen

  2. unstructured data

  3. structured data

  4. Jensen et al., Nature Reviews Genetics, 2012

  5. individual hospitals

  6. central registries

  7. opt-out

  8. opt-in

  9. Danish registries

  10. civil registration system

  11. CPR number

  12. established in 1968

  13. Jensen et al., Nature Reviews Genetics, 2012

  14. national discharge registry

  15. 14 years

  16. 6.2 million patients

  17. 45 million admissions

  18. 68 million records

  19. 119 million diagnosis

  20. ICD-10

  21. Jensen et al., Nature Reviews Genetics, 2012

  22. reimbursement

  23. not research

  24. diagnosis trajectories

  25. naïve approach

  26. comorbidity

  27. Jensen et al., Nature Reviews Genetics, 2012

  28. confounding factors

  29. “known knowns”

  30. gender

  31. age

  32. type of hospital encounter

  33. Female Male In-patient Out-patient Emergency room Jensen et al., submitted, 2013

  34. “known unknowns”

  35. smoking

  36. diet

  37. “unknown unknowns”

  38. reporting biases

  39. disease clustering

  40. temporal correlation

  41. Jensen et al., submitted, 2013

  42. diagnosis trajectories

  43. Jensen et al., submitted, 2013

  44. epilepsy

  45. Jensen et al., submitted, 2013

  46. gout

  47. Jensen et al., submitted, 2013

More Related