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Applied Data Analytics - Principles and Applications

Applied Data Analytics - Principles and Applications

The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes. Analysis of x-ray images in medical applications cyber security data crime data telecommunications and stock market data health records and business analytics data are but a few areas of interest. Applications and platforms including R RapidMiner and Weka provide the basis for analysis often used by practitioners who pay little to no attention to the underlying mathematics and processes impacting the data. This often leads to an inability to explain results or correct mistakes or to spot errors. Applied Data Analytics - Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms languages and visualisation systems. The book when combined with such platforms provides a complete set of tools required to handle big data and can lead to fast implementations and applications. The book contains a mixture of machine learning foundations deep learning artificial intelligence statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial nature of the book and the applications provided are some of the reasons why the book is suitable for undergraduate postgraduate and big data analytics enthusiasts. This text should ease the fear of mathematics often associated with practical data analytics and support rapid applications in artificial intelligence environmental sensor data modelling and analysis health informatics business data analytics data from Internet of Things and deep learning applications.

GBP 94.99
1

A Holter for Parkinson’s Disease Motor Symptoms: STAT-On

A Holter for Parkinson’s Disease Motor Symptoms: STAT-On

A new information and communication technology (ICT) has been deployed in the battle against Parkinson’s disease a neurodegenerative disorder that is both progressive and disabling with significant impact on quality of life. This book explains the experience following from the achieved results in the REMPARK project on Parkinson’s disease management up to the launch of a new medical product to the European market STAT-ON™. The new medical device STAT-ON™ is a real Holter for the motor symptoms associated to PD. It provides objective information about the severity and distribution of PD motor symptoms and their fluctuations in daily life allowing for an unbiased and correct monitoring of the patient. This real-time remote monitoring solution gives additional information to neurologists opening up new possibilities for more effective treatment more accurate control in clinical trials and for early detection of motor complications. The number of PD patients is continuously rising adding complexity especially in the management at the level of public health. It is an incurable disease with a symptomatic treatment that tries to alleviate the associated symptoms through a correct adjustment of the medication. For this reason it is also very important to be aware of changes in the manifestation of the symptoms which may indicate the need for an adjustment or even a change in the therapy strategy. The intensive complementary use of STAT-ON™ by neurologists health professionals and researchers will increase the independence and quality of life of patients improving their disease management and contributing to a deeper understanding of the nature of the disease. The Open Access version of this book available at http://www. taylorfrancis. com has been made available under a Creative Commons [Attribution-Non-Commercial (CC-BY-NC)] 4. 0 license. | A Holter for Parkinson’s Disease Motor Symptoms: STAT-On™

GBP 94.99
1

Direct Nerve Stimulation for Induction of Sensation and Treatment of Phantom Limb Pain

Direct Nerve Stimulation for Induction of Sensation and Treatment of Phantom Limb Pain

The amputation of a limb is a surgical intervention used as a last resort to remove irreparably damaged diseased or congenitally malformed limbs where retention of the limb is a threat to the well-being of the individual. The procedure traumatically alters the body image but often leaves sensations that refer to the missing body part the phantom limb. In 50-80% of cases these sensations are perceived as painful and referred to as ‘Phantom Limb Pain’. Direct Nerve Stimulation for Induction of Sensation and Treatment of Phantom Limb Pain provides an overview of research experiences and results for the design development and test of hardware and software components and the ambition to safely implant and evaluate a novel neural interface system to combat phantom limb pain in an amputee volunteer subject.

GBP 94.99
1

Big Data in Oncology: Impact Challenges and Risk Assessment

Big Data in Oncology: Impact Challenges and Risk Assessment

We are in the era of large-scale science. In oncology there is a huge number of data sets grouping information on cancer genomes transcriptomes clinical data and more. The challenge of big data in cancer is to integrate all this diversity of data collected into a unique platform that can be analyzed leading to the generation of readable files. The possibility of harnessing information from all the accumulated data leads to an improvement in cancer patient treatment and outcome. Solving the big data problem in oncology has multiple facets. Big data in Oncology: Impact Challenges and Risk Assessment brings together insights from emerging sophisticated information and communication technologies such as artificial intelligence data science and big data analytics for cancer management. This book focuses on targeted disease treatment using big data analytics. It provides information about targeted treatment in oncology challenges and application of big data in cancer therapy. Recent developments in the fields of artificial intelligence machine learning medical imaging personalized medicine computing and data analytics for improved patient care. Description of the application of big data with AI to discover new targeting points for cancer treatment. Summary of several risk assessments in the field of oncology using big data. Focus on prediction of doses in oncology using big data The most targeted or relevant audience is academics research scholars health care professionals hospital management pharmaceutical chemists the biomedical industry software engineers and IT professionals.

GBP 110.00
1

Explainable Artificial Intelligence for Biomedical Applications

Explainable Artificial Intelligence for Biomedical Applications

Since its first appearance artificial intelligence has been ensuring revolutionary outcomes in the context of real-world problems. At this point it has strong relations with biomedical and today’s intelligent systems compete with human capabilities in medical tasks. However advanced use of artificial intelligence causes intelligent systems to be black-box. That situation is not good for building trustworthy intelligent systems in medical applications. For a remarkable amount of time researchers have tried to solve the black-box issue by using modular additions which have led to the rise of the term: interpretable artificial intelligence. As the literature matured (as a result of in particular deep learning) that term transformed into explainable artificial intelligence (XAI). This book provides an essential edited work regarding the latest advancements in explainable artificial intelligence (XAI) for biomedical applications. It includes not only introductive perspectives but also applied touches and discussions regarding critical problems as well as future insights. Topics discussed in the book include: XAI for the applications with medical images XAI use cases for alternative medical data/task Different XAI methods for biomedical applications Reviews for the XAI research for critical biomedical problems. Explainable Artificial Intelligence for Biomedical Applications is ideal for academicians researchers students engineers and experts from the fields of computer science biomedical medical and health sciences. It also welcomes all readers of different fields to be informed about use cases of XAI in black-box artificial intelligence. In this sense the book can be used for both teaching and reference source purposes.

GBP 110.00
1

Machine Learning for Healthcare Systems Foundations and Applications

Machine Learning for Healthcare Systems Foundations and Applications

The introduction of digital technology in the healthcare industry is marked by ongoing difficulties with implementation and use. Slow progress has been made in unifying different healthcare systems and much of the world still lacks a fully integrated healthcare system. The intrinsic complexity and development of human biology as well as the differences across patients have repeatedly demonstrated the significance of the human element in the diagnosis and treatment of illnesses. But as digital technology develops healthcare providers will undoubtedly need to use it more and more to give patients the best treatment possible. The extensive use of machine learning in numerous industries including healthcare has been made possible by advancements in data technologies including storage capacity processing capability and data transit speeds. The need for a personalized medicine or precision medicine approach to healthcare has been highlighted by current trends in medicine due to the complexity of providing effective healthcare to each individual. Personalized medicine aims to identify forecast and analyze diagnostic decisions using vast volumes of healthcare data so that doctors may then apply them to each unique patient. These data may include but are not limited to information on a person’s genes or family history medical imaging data drug combinations patient health outcomes at the community level and natural language processing of pre-existing medical documentation. This book provides various insights into machine learning techniques in healthcare system data and its analysis. Recent technological advancements in the healthcare system represent cutting-edge innovations and global research successes in performance modelling analysis and applications. | Machine Learning for Healthcare Systems Foundations and Applications

GBP 99.99
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Testing and Balancing HVAC Air and Water Systems

Testing and Balancing HVAC Air and Water Systems

This thoroughly revised book will provide the reader with an understanding of the principles and practices of testing and balancing (TAB) heating ventilating and air conditioning (HVAC) air and water systems. It is for anyone interested in testing and balancing. For the novice and the experienced testing and balancing technician it is a field reference book of procedures equations and information tables. For those interested in getting into TAB or who are new to the HVAC industry it is a text for learning more about HVAC systems and testing and balancing. For the mechanical engineer building owner facility manager commissioning agency or energy manager this book can be used for teaching TAB writing more effective specifications and learning about TAB and how it interacts with system commissioning indoor air quality and energy management. It is the intent of this book to improve the communications between owners mechanical engineers designers vendors contractors TAB engineers supervisors and technicians to ensure that HVAC systems are being thoroughly tested and balanced. This book is used in test and balance self-study courses in-house training programs seminars and other training formats as preparation for TAB certification and as a text in colleges and technical schools. The sixth edition has general and specific testing and balancing procedures for constant air volume systems variable air volume systems return air and exhaust air systems positive and negative pressure conditioned spaces and fans and fan performance in Chapters 1 through 9. Chapters 10–12 cover testing and balancing fume hood systems and cleanrooms and commissioning HVAC systems. Chapters 13 and 14 provide information on water systems and centrifugal pumps including water balancing procedures using flow meters system components and temperatures and water pumps and pump performance. Chapter 15 reviews analog and digital controls. Chapters 16–20 cover terminology for fluid flow psychrometrics refrigeration¸ air distribution water distribution fans and pumps motors electrical and instrument usage and care. Chapters 21 and 22 are equations and tables. | Testing and Balancing HVAC Air and Water Systems

GBP 120.00
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