3 ms·
> Plus, the author gives some good examples like pulse ox%, doctors and nurses are not at all concerned with or trained to record data in a way that makes sense
by modeless 5y ago
> Plus, the author gives some good examples like pulse ox%, doctors and nurses are not at all concerned with or trained to record data in a way that makes sense to use programmatically. They're typically thinking only as if they're recording it for another human to read.
The unstructured doctor's notes may be where the best signal lies. Thet should be mostly uncorrupted by the billing/process related trash. Deep learning does not need data to be formatted to be read "programmatically", in fact it shines most on data that isn't.
- yarky 5y ago> The unstructured doctor's notes may be where the best signal lies. Or where the raw data is corrupted ...
- withinboredom 5y agoDoctors notes: removed 2 polyps Billing: unremarkable endoscopy Which is true? (Based on a true story)
- pc86 5y agoThey're both true of course. Polyps get removed all the time, it is unremarkable in a medical sense, and probably not enough to even warrant its own billing code, otherwise it certainly would have been listed.
- withinboredom 5y agoAh yeah, that’s good point. In either case, the true story ended with no polyps and it was a transcription error.
- danachow 5y agoNo this is not true at all. Procedural documentation in the US is exquisitely detailed both for medical-legal reasons and billing. Any polyp in the colon will be grossly described, it’s approximate position and if any intervention or send out testing is being performed. And as an internist - no colon polyp is medically unremarkable.
- midjji 5y agoDeep learning requires very well curated and balanced datasets, at best if your test data is also poorly curated and similarly unbalanced that might hide that it isn't working from you.