This book concerns the persecution of the Sinti and Roma in Germany during the Second Empire (1871-1918) and Weimar Republic (1919-1933). It traces the ways in which discriminatory treatment towards 'Gypsies' developed in a state ostensibly committed to individual liberty and equal treatment under the law, and how government policies in this period furthered their economic marginalisation and social exclusion. It will provide much-needed detail on a crucial period, one which is ordinarily addressed only fleetingly, and by way of introduction, to studies of how the Sinti and Roma communities were treated by National Socialists.

This book concerns the persecution of the Sinti and Roma in Germany during the Second Empire (1871-1918) and Weimar Republic (1919-1933). It traces the ways in which discriminatory treatment towards 'Gypsies' developed in a state ostensibly committed to individual liberty and equal treatment under the law, and how government policies in this period furthered their economic marginalisation and social exclusion. It will provide much-needed detail on a crucial period, one which is ordinarily addressed only fleetingly, and by way of introduction, to studies of how the Sinti and Roma communities were treated by National Socialists.

Research on late nineteenth and early twentieth century German society has concentrated overwhelmingly on life in the cities. By contrast, and despite the fact that almost one third of Germans were still working in agriculture as late as 1914, Germany's rural society remains relatively unexplored. Although historians have begun to correct this imbalance, very few full-length studies of social relations east of the Elba in this period have been published. This book concentrates on social relations in the 1,500 estate villages (GutsdArfer) of Mecklenburg-Schwerin and Mecklenburg-Strelitz. 'Social relations' include the chains of command and obedience, the relative legal positions of owner and workers, contractual-relations, economic relations; the mutual economic dependency of estate owners and workforce, as well as the value systems of owners and labourers which informed these relationships. With its focus on both rural elites and workers, this study differs from much other work on rural Germany. For while a number of historians have examined the rural elites, few have chosen to investigate the lower strata of rural society. This book makes use of overlooked autobiographical accounts, statements given by workers at labour exchanges and before military authorities, as well as confiscated letters, jokes and anecdotes to provide greater insight into the perspective of rural workers.

Research on late nineteenth and early twentieth century German society has concentrated overwhelmingly on life in the cities. By contrast, and despite the fact that almost one third of Germans were still working in agriculture as late as 1914, Germany's rural society remains relatively unexplored. Although historians have begun to correct this imbalance, very few full-length studies of social relations east of the Elba in this period have been published. This book concentrates on social relations in the 1,500 estate villages (GutsdArfer) of Mecklenburg-Schwerin and Mecklenburg-Strelitz. 'Social relations' include the chains of command and obedience, the relative legal positions of owner and workers, contractual-relations, economic relations; the mutual economic dependency of estate owners and workforce, as well as the value systems of owners and labourers which informed these relationships. With its focus on both rural elites and workers, this study differs from much other work on rural Germany. For while a number of historians have examined the rural elites, few have chosen to investigate the lower strata of rural society. This book makes use of overlooked autobiographical accounts, statements given by workers at labour exchanges and before military authorities, as well as confiscated letters, jokes and anecdotes to provide greater insight into the perspective of rural workers.

This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of causal and predictive models are comprehensively discussed. Care is taken to systematically describe the concepts to facilitate the reader in developing a thorough conceptual understanding of how different methods and resulting models function and how these relate to their applicability to various issues in health care and medical sciences. Guidance is also given on how to avoid pitfalls that can be encountered on a day-to-day basis and stratify potential clinical risks. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfalls is a comprehensive guide to how AI and ML techniques can best be applied in health care. The emphasis placed on how to avoid a variety of pitfalls that can be encountered makes it an indispensable guide for all medical informatics professionals and physicians who utilize these methodologies on a day-to-day basis. Furthermore, this work will be of significant interest to health data scientists, administrators and to students in the health sciences seeking an up-to-date resource on the topic.

This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of causal and predictive models are comprehensively discussed. Care is taken to systematically describe the concepts to facilitate the reader in developing a thorough conceptual understanding of how different methods and resulting models function and how these relate to their applicability to various issues in health care and medical sciences. Guidance is also given on how to avoid pitfalls that can be encountered on a day-to-day basis and stratify potential clinical risks. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfalls is a comprehensive guide to how AI and ML techniques can best be applied in health care. The emphasis placed on how to avoid a variety of pitfalls that can be encountered makes it an indispensable guide for all medical informatics professionals and physicians who utilize these methodologies on a day-to-day basis. Furthermore, this work will be of significant interest to health data scientists, administrators and to students in the health sciences seeking an up-to-date resource on the topic.