full transcript

From the Ted Talk by Pardis Sabeti: How we'll fight the next deadly virus

Unscramble the Blue Letters

But the problem is that the data that all of us are using, ggnloiog on the web, is just too limited to do what we need to do. And so many opportunities get missed when that happens. So in the early part of the epidemic from Kenema, we'd had 106 clinical records from pettians, and we once again made that publicly available to the world. And in our own lab, we could show that you could take those 106 records, we could train cotpmeurs to predict the prognosis for eobla patients to near 100 percent accuracy. And we made an app that could release that, to make that available to health-care wkerors in the field.

Open Cloze

But the problem is that the data that all of us are using, ________ on the web, is just too limited to do what we need to do. And so many opportunities get missed when that happens. So in the early part of the epidemic from Kenema, we'd had 106 clinical records from ________, and we once again made that publicly available to the world. And in our own lab, we could show that you could take those 106 records, we could train _________ to predict the prognosis for _____ patients to near 100 percent accuracy. And we made an app that could release that, to make that available to health-care _______ in the field.

Solution

  1. ebola
  2. patients
  3. computers
  4. googling
  5. workers

Original Text

But the problem is that the data that all of us are using, Googling on the web, is just too limited to do what we need to do. And so many opportunities get missed when that happens. So in the early part of the epidemic from Kenema, we'd had 106 clinical records from patients, and we once again made that publicly available to the world. And in our own lab, we could show that you could take those 106 records, we could train computers to predict the prognosis for Ebola patients to near 100 percent accuracy. And we made an app that could release that, to make that available to health-care workers in the field.

Frequently Occurring Word Combinations

ngrams of length 2

collocation frequency
sierra leone 6
lassa virus 3
front lines 3
molecular tests 2
contact tracing 2

Important Words

  1. accuracy
  2. app
  3. clinical
  4. computers
  5. data
  6. early
  7. ebola
  8. epidemic
  9. field
  10. googling
  11. kenema
  12. lab
  13. limited
  14. missed
  15. opportunities
  16. part
  17. patients
  18. percent
  19. predict
  20. problem
  21. prognosis
  22. publicly
  23. records
  24. release
  25. show
  26. train
  27. web
  28. workers
  29. world