Organ Crosstalk in Acute Kidney Injury: Basic Concepts and Clinical Practices (1版)
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This is an original work dedicated to an important and current topic in nephrology: organ crosstalk in acute renal injury.
Acute kidney injury is a prevalent and serious syndrome. The related mortality to this syndrome has not been significantly reduced in the last decades despite the advances in renal replacement therapy technology. For this reason, a new approach to obtain an effective treatment is urgently needed. The organ crosstalk perspective could be useful in order to achieve this objective since it implies a very early acute kidney injury diagnose and treatment.
This book includes a comprehensive review of the organ crosstalk perspective in acute kidney injury. Organized in two parts, the chapters in the first part present general subjects as an introduction to analysing the crosstalk concept. These chapters give an overview of the concepts of biosemiotics, hormones, neurotransmitters, cytokines, signalling and adhesion molecules, organ intercommunication, and epigenetics. The second part gathers chapters on the different kidney crosstalk, such as brain, lung, heart, liver, gut, and placenta. Finally, there is a chapter dedicated to the influence of renal replacement treatment on kidney crosstalk.
Since acute kidney injury is a topic of interest to many health professionals, this work will be a useful resource to general practitioners, internal medicine physicians, geriatricians, nephrologists, critical care therapists, immunologists, and also biologists and bioengineers.
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4760
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4284
現省:
476元
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Data Mining: Concepts and Techniques (4版)
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【簡介】
Description
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets.
After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining.
【目錄】
Table of contents
Chapter 1: Introduction
Chapter 2: Data, measurements, and data preprocessing
Chapter 3: Data warehousing and online analytical processing
Chapter 4: Pattern mining: basic concepts and methods
Chapter 5: Pattern mining: advanced methods
Chapter 6: Classification: basic concepts and methods
Chapter 7: Classification: advanced methods
Chapter 8: Cluster analysis: basic concepts and methods
Chapter 9: Cluster analysis: advanced methods
Chapter 10: Deep learning
Chapter 11: Outlier detection
Chapter 12: Data mining trends and research frontiers
Appendix A: Mathematical background
Bibliography
Bibliography
Bibliography
Index
原價:
3050
售價:
2867
現省:
183元
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