Decoding Movie Sentiments: Analyzing Reviews with Data Analysis model
The big-data revolution in healthcare
1. REVIEW ON THE TED TALK
THE BIG-DATA
REVOLUTION
IN
HEALTHCARE
2. MAJOR PROBLEM IN GLOBAL HEALTH
Even though the light is better on the Internet, the data that
would help solve the healthcare problems is not actually
present on the Internet. So we don't know, for example, how
many people right now are being affected by disasters or by
conflict situations. We don't know for, really, basically, any of
the clinics in the developing world, which ones have
medicines and which ones don't. We don't know how many
children were born - or how many children there are - in
Bolivia or Botswana or Bhutan.
3. For all of these different critically important problems or
critically important areas that we want to solve problems
in,we basically know nothing
REASON:
Usage of obsolete methods like paper forms
for tapping, recording data, with no guarantee
of it being loaded into a computer and being
analysed.
7. Why can't we put the forms on these PalmPilots? And go
out into the field just carrying one PalmPilot, which can hold
the capacity of tens of thousands of paper forms? Why
don't we try to do that? Because if we can do that, if we can
actually just collect the data electronically, digitally, from the
very beginning, we can just put a shortcut right through that
whole process of typing, of having somebody type that stuff
into the computer. We can skip straight to the analysis and
then straight to the use of the data to actually save lives."
THOUGHT PROCESS:
11. EFFECTIVENESS-
The whole point of it, just like with the PalmPilots, was that
you'd be able to collect the data and immediately upload
the data and get your data set. But what was found, of
course, since it's already on a computer, it can deliver
instant maps and analysis and graphing. We can take a
process that took two years and compress that down to the
space of five minutes. Cloud based, no training, no
consultants, no person.
Also, a wider reach!