Automating Prior Authorization Decisions Using Machine Learning and Health Claim Data
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In the last few years, the Supreme Court has embraced a formalist approach to separation of powers law, allegedly justified by the Constitution’s “original meaning.” …
The problem of finding a feedback law that drives the state of a linear discrete-time system to the origin in minimum-time subject to state-control constraints …
Abstract As artificial intelligence (AI) becomes increasingly integrated into climate prediction systems, questions of ethical governance and accountability have emerged as critical but underexplored challenges. …
Abstract Achieving the global benefits of artificial intelligence (AI) will require international cooperation on many areas of governance and ethical standards, while allowing for diverse …
Third-law gas-phase statistical entropies are computed for a variety of closed-shell singlet state species using standard formulae based upon canonical partition functions. Molecular parameters are …
Introduction In The Signal and the Noise, a manifesto for our cognitively dissonant post-fact, pro-statistics era, Nate Silver writes: “Data-driven predictions can succeed—and they can …
This research aims to show the impact of artificial intelligence (AI) on fillings patent protection through patent rights. This research is normative legal research using …