How can deep neural networks in interoperability be used to address the Political Determinants of Health?

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How can deep neural networks in interoperability be used to address the Political Determinants of Health?

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Current rough research question is:
1. How can deep neural networks in interoperability be used to address the Political Determinants of Health?
 
Feel free to add on additional questions if you feel it strengthen the paper. This is not for submission, just want to get a sense what a writer can deliver on this topic. If I like your your direction said writer will get the additional requirements and should be fun. This is for Public Policy program so the the inclusion of current and future policies and laws is expected to incorporated and of course the technology of machine learning and IoT etc.
 
Daniels Dawes is great resource for Political Determinants of Health.
 
Also some other sources:

 
https://escholarship.org/uc/item/3q05m2r7
 
https://jscholarship.library.jhu.edu/handle/1774.2/63906
 
https://jscholarship.library.jhu.edu/handle/1774.2/62502
 
As many sources as you like

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