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Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics
In the last two decades, machine learning has developed dramatically and is still experiencing a fast and everlasting change in paradigms, methodology, applications and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on their diversity and complexity. Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research. It provides many case studies and a panoramic view of data and machine learning techniques, providing the opportunity for novel insights and discoveries. The book explores the theory and practical applications in healthcare and includes a guided tour of machine learning algorithms, architecture design and interdisciplinary challenges. This book is useful for research scholars and students involved in critical condition analysis and computation models.
Active Statistics
Applied regression and causal inference are central to statistics and data science. This book provides a large collection of stories, with hands-on activities, demonstrations, and problems that bring the subject to life and which facilitate group work and active student participation.
Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis (MSEA 2022)
This is an open access book. 2022 International Conference on Mathematical Statistics and Economic Analysis(MSEA 2022) will be held in Dalian, China from May 27 to 29, 2022. Based on probability theory, mathematical statistics studies the statistical regularity of a large number of random phenomena, and infers and forecasts the whole. Economic development is very important to people's life and the country. Through data statistics and analysis, we can quickly understand the law of economic development. This conference combines mathematical statistics and economic analysis for the first time to explore the relationship between them, so as to provide a platform for experts and scholars in the field of mathematical statistics and economic analysis to exchange and discuss.
Dynastic Crisis and Cultural Innovation
"This volume addresses cultural and literary transformation in the late Ming (1550–1644) and late Qing (1851–1911) eras. Although conventionally associated with a devastating sociopolitical crisis, each of these periods was also a time when Chinese culture was rejuvenated. Focusing on the twin themes of crisis and innovation, the seventeen chapters in this book aim to illuminate the late Ming and late Qing as eras of literary-cultural innovation during periods of imperial disintegration; to analyze linkages between the two periods and the radical heritage they bequeathed to the modern imagination; and to rethink the “premodernity” of the late Ming and late Qing in the context of the ...
