Machine Learning and Clinical Text. Supporting Health Information Flow

Fluent health information flow is critical for clinical decision-making. However, a considerable part of this information is free-form text and inabilities to utilize it create risks to patient safety and cost-­effective hospital administration. Methods for automated processing of clinical text are emerging. The aim in this doctoral dissertation is to study machine learning and clinical text in order to support health information flow.First, by analyzing the content of authentic patient records, the aim is to specify clinical needs in order to guide the development of machine learning applications.The contributions are a model of the ideal information flow,a model of the problems and challenges in reality, and a road map for the technology development. Second, by developing applications for practical cases,the aim is to concretize ways to support health information flow. Altogether five machine learning applications for three practical cases are described: The first two applications are binary classification and regression related to the practical case of topic labeling and relevance ranking.The third and fourth application are supervised and unsupervised multi-class classification for the practical case of topic segmentation and labeling.These four applications are tested with Finnish intensive care patient records.The fifth application is multi-label classification for the practical task of diagnosis coding. It is tested with English radiology reports.The performance of all these applications is promising. Third, the aim is to study how the quality of machine learning applications can be reliably evaluated.The associations between performance evaluation measures and methods are addressed,and a new hold-out method is introduced.This method contributes not only to processing time but also to the evaluation diversity and quality. The main conclusion is that developing machine learning applications for text requires interdisciplinary, international collaboration. Practical cases are very different, and hence the development must begin from genuine user needs and domain expertise. The technological expertise must cover linguistics,machine learning, and information systems. Finally, the methods must be evaluated both statistically and through authentic user-feedback.Siirretty Doriast

The First Fleet Piano: Volume One and Two

During the late eighteenth century, a musical–cultural phenomenon swept the globe. The English square piano—invented in the early 1760s by an entrepreneurial German guitar maker in London—not only became an indispensable part of social life, but also inspired the creation of an expressive and scintillating repertoire. Square pianos reinforced music as life’s counterpoint, and were played by royalty, by musicians of the highest calibre and by aspiring amateurs alike. On Sunday, 13 May 1787, a square piano departed from Portsmouth on board the Sirius, the flagship of the First Fleet, bound for Botany Bay. Who made the First Fleet piano, and when was it made? Who owned it? Who played it, and who listened? What music did the instrument sound out, and within what contexts was its voice heard? What became of the First Fleet piano after its arrival on antipodean soil, and who played a part in the instrument’s subsequent history? Two extant instruments contend for the title ‘First Fleet piano’; which of these made the epic journey to Botany Bay in 1787–88? The First Fleet Piano: A Musician’s View answers these questions, and provides tantalising glimpses of social and cultural life both in Georgian England and in the early colony at Sydney Cove. The First Fleet piano is placed within the musical and social contexts for which it was created, and narratives of the individuals whose lives have been touched by the instrument are woven together into an account of the First Fleet piano’s conjunction with the forces of history. Note: Volume 1 and 2 are sold as a set ($120 for both) and cannot be purchased separately

Historical and Political Thought in the Seventeenth-Century Dutch Republic: The Case of Marcus Zuerius Boxhorn (1612-1653)

This dissertation constitutes the first comprehensive study of the historical and political thought of the Dutch scholar Marcus Zuerius Boxhorn (1612-1653). Boxhorn was one of the most prolific scholars of his age. His Latin works were translated into Dutch, French, and English, and published in England and the Holy Roman Empire. This study shows that he is to be regarded as an important transitional figure between the age of late humanism and the age of the early Enlightenment. Careful analysis that takes into account long-term intellectual developments within early-modern Europe and the Dutch Republic as well as local events shows that Boxhorn’s historical and political ideas have common ground with both the Aristotelian humanist tradition in which he was brought up and the modern ideas of influential philosophers like Thomas Hobbes and Samuel Pufendorf