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Indolent Lymphomas
This book provides a comprehensive overview of current treatment strategies in indolent lymphomas, the clinical management of which continues to pose significant challenges for the general oncologist despite the tremendous progress in diagnosis, evaluation of risk factors, and molecular targeted approaches. Experts in the field from around the world describe the histomorphology in a clinically relevant manner, consider the role of risk factors in detail, and discuss the full spectrum of therapeutic approaches. Special emphasis is placed on the translation of molecular science into clinical care, and a disease-specific algorithm is proposed for each entity. The coverage encompasses follicular lymphoma, MALT, nodal marginal zone lymphoma, splenic marginal zone lymphoma, Waldenström’s macroglobulinemia, hairy cell leukemia, chronic lymphocytic leukemia, mycosis fungoides, large granular lymphocytic leukemia, and also mantle cell lymphoma. The book will be an excellent resource for experienced and inexperienced practitioners alike.
BRLM
None
Statistics and Health Care Fraud
Statistics and Health Care Fraud: How to Save Billions helps the public to become more informed citizens through discussions of real world health care examples and fraud assessment applications. The author presents statistical and analytical methods used in health care fraud audits without requiring any mathematical background. The public suffers from health care overpayments either directly as patients or indirectly as taxpayers, and fraud analytics provides ways to handle the large size and complexity of these claims. The book starts with a brief overview of global healthcare systems such as U.S. Medicare. This is followed by a discussion of medical overpayments and assessment initiatives ...
Recent Advances in Data Science
This book constitutes selected papers of the Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China, in June 2019. The 19 full papers and 1 short paper were carefully reviewed and selected from 93 submissions. The papers are organized according to the following topical sections: business data science: fintech, management, and analytics.- health and biological data science.- novel data science theory and applications.
ICT AND EDUCATION
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The Getty Murua
Here is a set of essays on Historia general del Piru that discuss not only the manuscript's physical components--quires and watermarks, scripts and pigments--but also its relation to other Andean manuscripts, Inca textiles, European portraits, and Spanish sources and publication procedures. The sum is an unusually detailed and interdisciplinary analysis of the creation and fate of a historical and artistic treasure.
Mortality in an International Perspective
This volume presents a state of the art coverage of the measurement and evolution of mortality over time. It describes in great detail the changes in the cause patterns of mortality, the changes in mortality patterns at different ages, and specific analyses of mortality in particular countries. Derived from a meeting of the European Working Group on Health, Morbidity and Mortality held at the Vienna Institute of Demography, September 2011, it presents a cross-section of the work and concerns of mortality researchers across Europe, ranging from London and Madrid in the west to Moscow in the east, with a few additions from further afield. Although most of the papers focus on a particular popul...
Singular Spectrum Analysis
This book provides a broad introduction to computational aspects of Singular Spectrum Analysis (SSA) which is a non-parametric technique and requires no prior assumptions such as stationarity, normality or linearity of the series. This book is unique as it not only details the theoretical aspects underlying SSA, but also provides a comprehensive guide enabling the user to apply the theory in practice using the R software. Further, it provides the user with step- by- step coding and guidance for the practical application of the SSA technique to analyze their time series databases using R. The first two chapters present basic notions of univariate and multivariate SSA and their implementations in R environment. The next chapters discuss the applications of SSA to change point detection, missing-data imputation, smoothing and filtering. This book is appropriate for researchers, upper level students (masters level and beyond) and practitioners wishing to revive their knowledge of times series analysis or to quickly learn about the main mechanisms of SSA.
What Really Matters for Struggling Readers
"A strength of using Allington's book is reading friendliness. As I read his book, I felt like I was having a conversation with him." - Dr. Stacey Leftwich, Rowan University, Department of Reading, Glassboro, NJ --Book Jacket.
