Learning from medical data streams: an introduction

Clinical practice and research are facing a new challenge created by the rapid growth of health information science and technology, and the complexity and volume of biomedical data. Machine learning from medical data streams is a recent area of research that aims to provide better knowledge extraction and evidence-based clinical decision support in scenarios where data are produced as a continuous flow. This year's edition of AIME, the Conference on Artificial Intelligence in Medicine, enabled the sound discussion of this area of research, mainly by the inclusion of a dedicated workshop. This paper is an introduction to LEMEDS, the Learning from Medical Data Streams workshop, which highlights the contributed papers, the invited talk and expert panel discussion, as well as related papers accepted to the main conference

Maintaining Uniform Federal Rules: Why the Shady Grove Plurality was Right

This Article examines the Court’s decision in Shady Grove, concluding that Justice Scalia’s plurality opinion has the better argument—his approach is the most consonant with precedent and the least disruptive to the careful balance the Court has struck with its Erie line of cases. Part II examines Justice Scalia’s plurality opinion, and considers its strengths and weaknesses. I then turn to Justice Ginsburg’s dissenting opinion, concluding that it rests on a fundamental misapplication of the Erie doctrine, though she admirably attempts to give teeth to the substantive rights limitation of the Rules Enabling Act—a limitation that the Erie doctrine admittedly ignores. Part III considers the concurring opinion of Justice Stevens, who suggests a middle ground test that, while initially appealing, collapses under the weight of a closer analysis. It is not yet clear which opinion will provide controlling precedent in future cases, and this paper argues that the plurality opinion should control as the narrowest ground of decision, rather than Justice Stevens’s concurrence. I conclude with a discussion of the case’s ironic result and the lesson Shady Grove provides for future Congresses that might attempt to achieve substantive outcomes by regulating procedure. Shady Grove reached federal court through diversity jurisdiction made possible only by a Republican Congress’s enactment of the Class Action Fairness Act (CAFA), which, ironically, was passed with the purpose of reducing the number of class actions. Since its enactment, CAFA has become a tool for the plaintiff’s bar—leading to even more class action suits. Congressional regulations of procedure are uniquely capable of backfiring by producing results inconsistent with the legislative purpose