Name: hhs-insights
Owner: Bayes Hack 2016
Description: #HHS
Created: 2016-04-24 16:23:51.0
Updated: 2016-04-25 23:29:37.0
Pushed: 2016-04-24 17:37:35.0
Homepage: null
Size: 4223
Language: Jupyter Notebook
GitHub Committers
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Other Committers
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Vision: Our goverment has wealth of data available on HHS. Our vision is to utilize the available information and make meaningful analysis out of it. For example: By joining the the data sets of doctors and provider information we can get more insight on why a particular area has more frauds. As more efforts are being made to standarize data like doctor ratings we can further leverage and allow people to make a more informed decision about insurance providers.
Goal: Our goal is to allow government to make use of the available data to solve problems on resource management, budgeting and better planning. For example: This can help in population lifestyle equitability, human migration, urban planning and even more.
Problem: Determine availability of providers and quality of doctors. We solve this by combining the datasets and querying for “NPI Deactivation Reason Code” and number of providers through elastic search.
Notebooks ==> API server(AWS) ==> ElasticSearch(AWS)
pyter/
A collecition of ipynb notebooks to render interesting visualizations
i-server/
NodeJS API server that provides a simple API that Jupyter notebooks call into.
ta-loader/
scripts to parse and normalize CSV data and store to elasticsearch.
speciality=Diabetes