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Ask HN: What medical datasets do you need?

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Re: Ask HN: What medical datasets do you need?

#23
post #4

I'm not sure such thing exists: "large companies with lots of medical data". Medical data is often confidential and belong to hospitals.

I used to work for a medical lab and worked on a lot of projects that involved aggregating and cleaning medical data to sell. Often it would just go to pharma companies so they could target the best places to sell their drugs.

Anyway, it's completely legal. You just have to scrub the data pretty thoroughly before you sell it.

Re: Ask HN: What medical datasets do you need?

#24
Hormone problems are extremely difficult to tease out.

In my opinion, large datasets testing wide spectrums of hormones in a large population, tagged with any diagnosed endocrinological condition would be extremely valuable. I bet with this information, we could learn a lot without conducting actual physical studies, by simply sectioning the data appropriately.

I'm not a doctor though, so I don't know exactly what would need to be recorded, but having dealt with bizarre endocrine disorders that doctors don't really have any answers to, my gut feeling is that such a data set would be incredibly useful.

Re: Ask HN: What medical datasets do you need?

#25

Images. Brain scans. Mammograms. Eye scans. Patient history would help too. (I know there's HIPPA to comply with, but as much as we can get can help train better classifiers.)

I would check out https://github.com/caesar0301/awesome-public-datasets#neuros... for brain scans.

Also, anything from here: http://www.nature.com/neuro/journal/v17/n11/fig_tab/nn.3818_...

And the following: http://www.ukbiobank.ac.uk/imaging-data/ http://nmr.mgh.harvard.edu/lab/harvardagingbrain http://www.einstein.yu.edu/departments/neurology/clinical-re...

Re: Ask HN: What medical datasets do you need?

#27
post #12
post #3

How about pricing data?

Pricing such as total cost of care, at a covered california region level is available here: http://costatlas.iha.org/ (I built this tool, so please be nice ;)

I'm interested in retail prices from Blue Shield. For example their Silver 70 PPO plan when you get a price quote from Blue Shield is nearly $140 a month more expensive in San Francisco then Los Angeles (Beverly Hills).

  SF Premiums - $479
  LA Premiums - $340
I gotta get out of this sanctuary city.

Re: Ask HN: What medical datasets do you need?

#28
Dermatology, eye conditions, blood cells, tissue, viruses, urine, saliva, everything that can allow an app to give you a first diagnose before heading to the doctor.

I foresee in less than ten years we will have a doctor in our pockets. No, it won't cure us and it won't replace a doctor, but it will give us all the information we need to have a 99% certainty of our condition.

--

Second batch for animals and their conditions.

Third batch, agriculture. Take a pic of a plant and tell me all the info, fertilizers, cultivation, etc, bonus for pest id and treatment.

Pocket computers should be able to diagnose every living creature.

Re: Ask HN: What medical datasets do you need?

#29
post #12

Earlier quoted context omitted.

Pricing such as total cost of care, at a covered california region level is available here: http://costatlas.iha.org/ (I built this tool, so please be nice ;)

I'm interested in retail prices from Blue Shield. For example their Silver 70 PPO plan when you get a price quote from Blue Shield is nearly $140 a month more expensive in San Francisco then Los Angeles (Beverly Hills). SF Premiums - $479 LA Premiums - $340 I gotta get out of this sanctuary city.

That type of data is hard to get and hard to release publicly. But if you play with the tool, you can see that across both HMOs and PPOs, San Francisco County is way more expensive than LA (even when taking into account a risk adjustment). So this may be indicative of a geographic market issue.

http://costatlas.iha.org/map?m0=TCCCOMP&p0=HMOPOS&m1=TCCCOMP...

Re: Ask HN: What medical datasets do you need?

#30
Trauma is the leading cause of mortality for people under 40 years old in the US, however it is very poorly funded in terms of research dollars compared to things like cancer, HIV etc.

Datasets are limited and expansion with AI would be huge.

One specific application - determining cost effectiveness of placing tourniquets in public places - much like the idea of having defibrillators at the mall. And funding community training, see the "Stop the Bleed" campaign.

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