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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?

#53

Costs of all the procedures for each hospital. Whatever people get charged.

Medicare provider utilization and payment data (which is a large percentage of the total market in the United States) has been publicly available[1] for several years now. The Wall Street Journal won a Pulitzer Prize[2] for the analysis they did of the public data sets.

[1]: http://graphics.wsj.com/medicare-billing/

[2]: https://www.wsj.com/articles/wsj-new-york-times-win-pulitzer...

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

#54
Please oh please, Chronic Fatigue Syndrome. The potential for ML is absolutely huge. Some people have already collected or are working to collect genetic and other data on a large scale [1] [2] [3], so it does exist.

CFS is interesting because:

a) Patients' symptoms appear to fluctuate "randomly" but are actually typically a complex function of genetics, blood markers, exercise, diet, medication and other factors.

b) There is considerable low-hanging fruit for pattern recognition, since despite the prevalence of the disease almost nobody has done serious ML work in this space.

c) Huge market opportunity - prevalence is comparable to HIV, and specialists often cite CFS as causing more disability [4] [5].

[1] http://simmaronresearch.com/

[2] http://www.nova.edu/nim/research/mecfs-genes.html

[3] https://med.stanford.edu/chronicfatiguesyndrome.html

[4] https://consults.blogs.nytimes.com/2009/10/15/readers-ask-a-...

[5] Dr. Daniel Peterson (Introduction to Research and Clinical Conference, Fort Lauderdale, Florida, October 1994; published in JCFS 1995:1:3-4:123-125)

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

#56
IBS data. Since DoD threw money at this problem after the Iraq war, we've discovered that IBS occurs in about 1 in 10 who have had food poisoning. This is the biggest advancement made in the field in decades. We are close to putting this to bed but just need more data.

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

#59
Blood glucose levels as time series from continuous glucose monitors with additional tagged data like food intake, exercise, and sleep. Each record needs the obvious human-data like sex, age, weight, nationality/ethnicity, type 1 or type 2 diabetes.
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