3 ms·

I don't agree with this. Have you not seen the work by Regina Barzilay and David Sontag at MIT? His paper about embeddings of categorical data across 4.5million

I don't agree with this. Have you not seen the work by Regina Barzilay and David Sontag at MIT? His paper about embeddings of categorical data across 4.5million medical records? You can build an entire CDS from the data, which is publicly available. And if you can't find a problem to solve, then why don't you ask where the pain is? There are a _ton_ of low hanging fruit items that NLP and Deep Learning that can help with _today_ in the clinical environment. How about: Question-answering for doctors that immediately need to find time-critical facts from a patients medical record? My sister, a hospitalist, begs for help in this area when treating seriously ill patients that come into the ER from different hospitals. How about helping insurers better model their patient populations from unstructured data? ICD coding for medical billing, our extremely wasteful 16-20billion dollar a year industry with _terrible_ NLP solutions in the current market? There are problems to be solved. You just need to ask your customers, and find their pain.

delton137 9y ago
You're not addressing the problem area the author is looking at though, which is lead generation (finding new molecules that either have high binding affinity to a receptor and/or might be useful for a given medical application).
fnl 9y ago
You call your problems "low hanging fruit", yet they are real problems that multi-billion dollar enterprises are facing and know of. If they really were as "low hanging" as you say, don't you think they'd have the resources and capacities to already have solved them? (Looking at you, Watson...)
- technics256 9y ago
  They are, but you have to realize that the companies themselves are focused on healthcare first, and reimbursement. Healthcare in the United States is a fee for service model, not a value based one. So the system isn't aligned for it. But they are doing it, look at the sepsis NLP solution created by Mass General in-house.
martingoodson 9y ago
I run a startup in this area. Could we have an offline conversation? My email address is in my profile.

delton137 9y ago

You're not addressing the problem area the author is looking at though, which is lead generation (finding new molecules that either have high binding affinity to a receptor and/or might be useful for a given medical application).

fnl 9y ago

You call your problems "low hanging fruit", yet they are real problems that multi-billion dollar enterprises are facing and know of. If they really were as "low hanging" as you say, don't you think they'd have the resources and capacities to already have solved them? (Looking at you, Watson...)

technics256 9y ago
They are, but you have to realize that the companies themselves are focused on healthcare first, and reimbursement. Healthcare in the United States is a fee for service model, not a value based one. So the system isn't aligned for it. But they are doing it, look at the sepsis NLP solution created by Mass General in-house.

martingoodson 9y ago

I run a startup in this area. Could we have an offline conversation? My email address is in my profile.