11 ms·
Okay, how do you implement efficient ML with terrible quality data?
by rscho 7y ago
Okay, how do you implement efficient ML with terrible quality data?
- toomuchtodo 7y agoTime and effort? ML already finds lung cancer better than human radiologists, so it’s clear there are datasets that are of sufficient quality. We continue to improve datasets wherever possible.
- rscho 7y agoIn a word: no. Machines can find a spot on an image better than a radiologist when it is known that there might be one. Unfortunately, that is of very little use to the clinician. The big hype is a consequence of a big misunderstanding of the practical constraints of healthcare. Time and effort don't fix bad data and bad statisticians.
- toomuchtodo 7y agoBut time and effort does enable better pipelines to improve future data quality. Garbage in, garbage out, don’t collect garbage.
- rscho 7y agoI'm sold. Now try to convince the people who are important to convince and have a good laugh. Reliable data collection is the biggest challenge for modern medicine. A challenge far greater than getting better statistical models.
- toomuchtodo 7y agoEmail in profile. Point me to decision makers and I’ll make the case on my own dime.