Thesis proposal

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by Yareth Lafarga0 views·Updated Oct 12, 2021
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  1. All right.
  2. Hello everyone.
  3. This is the very about my texas proposal.
  4. My name is irrelevant area and I'm starting the mastering
  5. computer sciences.
  6. My supervisor is doctor has said thomas.
  7. I'm going to start with the break introduction.
  8. Yeah this proposal is related with the implementation of proteomics
  9. and machine learning to detect terrorist level of developing breast
  10. concept. But what is the problem related with this proposal?
  11. Breast cancer is the most frequent malignant tomorrow among women
  12. in the world.
  13. Actually in Mexico it represents the first cancer deaths in
  14. women. Now let's see some about the context in the
  15. past years the number of deaths causes by diseases has
  16. suffered an upward tendency.
  17. This is due to the treatment not being on time
  18. which is a consequence of a delay in an early
  19. diagnosis. Now let's see some statistics.
  20. It has improved that the survival rate increases with any
  21. early diagnosis.
  22. This means starting the treatment on time.
  23. There is a Mexican norm that suggests that women between
  24. 40 and 69 years Charles ABA mammography every two years.
  25. However the national and screen cover is only 20 In
  26. another side.
  27. That's our Bible rate can increase with an early diagnosis
  28. still 90%.
  29. Okay but what the patient said, some of them are
  30. afraid of that race.
  31. Some of them said that is a painful study and
  32. there is a lot of information in the National Cover
  33. to detect this disease.
  34. What is the proportion this is for the detection of
  35. for its level the sample of the screening.
  36. Give us information before the development of cancer.
  37. With this information can be possible to predict the risk
  38. of developing breast cancer prior to the diagnosis.
  39. For this.
  40. We propose the use of proteomics and machine learning to
  41. obtain their piece of developing breast cancer.
  42. But let's see the hypothesis Now, the hypothesis is to
  43. detect the risk of developing breast cancer in digital mammo
  44. REMS prior diagnosis.
  45. For these who expect that wrestles that quantity of mammography
  46. is according with patients to obtain and early diagnosis.
  47. This means that the national cover for the screening can
  48. be increased and there's our bible rate as well.
  49. So what is the research question?
  50. The research question is that to what is standard prediction
  51. of the risk of developing breast cancer?
  52. With the use of radio mics and machine learning will
  53. help in the survival index of patients.
  54. Thank you for your attention.