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Social Determinants Trends In Cognitive Analysis Of Healthcare Analytics Using Artificial Intelligence

~~410,75€~~ 369,68€ 10% OFF

 This book addresses the influence of socioeconomic factors on patients in the COVID-19 analysis and recommends appropriate healthcare methods, including AI tools for patient monitoring and physician assistance. Recent research on healthcare systems during pandemics is discussed, as is the use of AI in the field of mental illness. The chapters in this book address the likelihood of successfully using AI in healthcare, with a focus on coronavirus-related concerns and healthcare systems. The chapters also provide examples of how AI has been used to address social determinants and their impact on public issues during a catastrophic epidemic and discuss how this technology may be used to enhance care services and help the healthcare sector adapt to prospective difficulties.
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Content Analysis: Methods And Practices

~~108,65€~~ 97,79€ 10% OFF

 This book contains five chapters that detail the methods and practices of content analysis. Chapter One explores the origins and methodological development of content analysis, while grounding the researcher within the applicable research philosophies, systems of logic, and methods to ensure cogent research design. Chapter Two investigates the portrayal of college athletes involved in sexual assault cases as alleged perpetrators. Chapter Three examines tobacco advertising on the YouTube platform after the Indonesian government’s enactment of PP 109/ 2012 and the prohibition of online tobacco advertising. Chapter Four analyzes the information and data received on a phenomenon from newspapers, books, magazines and other forms of written and visual documents by qualitative and quantitative methods. Lastly, Chapter Five presents a comprehensive analysis that merges an examination of policy content with an in-depth exploration of the preferences and attitudes of Indonesian citizens toward data breaches.
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West'S Last Report: Is There An Optimal Funding Strategy For Stem Research?

by Bruce J. West

125,88€ + 10% CARD

 This book addresses the concern expressed by Pentagon Leaders that government resources would be better spent if we restricted the support of research to the top universities to the exclusion of all others. Establishing the veracity of this assertion sounds like a straightforward task, but it is not, with the devil being in the details. In the present case the details reside in the inverse power law (IPL) statistics of the datasets used to construct the measures of research value associated with the three major funding strategies used by the Army Research Office (ARO) to support basic science, technology, engineering, and mathematics (STEM) research. The statistics of research value in terms of the number of papers published and citations made to those papers are both IPL distributions, which makes the construction and interpretation of viable measures of research quality problematic. Thus, most of the book is devoted to interpretations of the various measures entailed by IPL statistics, but not with the mathematical details, which are amply referenced. An in-depth study of the funding by ARO addressing this question was concluded prior to Dr. West’s retirement from ARO in July of 2021. The major conclusion drawn from the study was that if the budget of the ARO single individual funding was cut in half and invested instead in block grants to top universities, the result would by a disproportionate loss of research value to ARO and to the U.S. Army. The book reviews the measures constructed on which this conclusion was reached and the consistency of this conclusion with the discussion of Science of Science carried out by the broader science community.
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Machine Learning Analysis Of Qpcr Data Using R

by Luigi Marongiu

108,65€ + 10% CARD

 The quantitative polymerase chain reaction (qPCR) is a versatile and popular assay for quantifying nucleic acids. With the recent expansion of the number of reactions per assay, there is a need for an accurate method to report the data suitable for automation. This book will describe such a method, based on machine learning analysis, and implement it with publicly available tools. This book is intended for researchers and will provide a detailed introduction to the programming language R, including references for the most common functions. This book will provide an advanced strategy for the objective analysis of qPCR data suitable for experts in the field and an introduction to qPCR and computational analysis for students.
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Predictive Analytics For Data Driven Decision Making - Tools And Techniques For Solving Real World Problems

by L. Ashok Kumar

304,75€ + 10% CARD

 Predictive analytics is an evolving field and has applications across all domains and sectors. This book will introduce to the reader the concept of predictive analytics and cover in detail the predictive analytic models, tools and techniques involved. The book will also cover the applications of predictive analytics in various domains including health care, banking, agriculture, retailing, sports and industries using smart grid and industrial drivers with real world scenarios. This book covers performance improvement and enhancement techniques with the aid of intelligent predictive analytical algorithms to predict future patterns. This would be a handy guide covering all steps from identification of the problem, preparing the data, model building and recommending solutions. Hence, the readers can experience the various types of performance improvement techniques and implement them in their specific domain.
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Future Of Data Mining

125,88€ + 10% CARD

 The purpose of this book is to discuss data mining, which is a subset of data science, from a variety of perspectives. With the technological advances of recent years, new software and hardware-based systems are available in most business environments. With these systems, data production continues to increase in personal, corporate, commercial and many other areas. Information systems convert raw data, which alone are not so meaningful, into information after the processes are applied. Database systems are necessary for the storage and management of the information generated. Revealing meaningful relationships hidden in a stack of high-volume data shows the function of data mining. Processing big data has become important to produce information that will support business decisions and be a strategic tool in today’s competitive environment. In this context, the effectiveness of data mining applications is increasing day by day as a decision support system to develop marketing strategies in every sector by identifying customer behavior and target groups.
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Understanding Pattern Analysis

125,88€ + 10% CARD

 Understanding Pattern Analysis provides an overview of the most recent research on the creation and application of synergistic approaches to pattern analysis in real-world contexts. This book discusses a variety of hybrid intelligence strategies, including application of pattern analysis to astrobiology, pattern analysis for predictive systems of modern agriculture practices, cognitive pattern recognition, cognition of 5G network toward digital healthcare for smart cities and object detection for autonomous vehicles.
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Requirements Of E-Records Integrity

by Orlando Lopez

304,75€ + 10% CARD

 The worldwide medicines' manufacturing practices regulations depend heavily on reliable data and records. The information properly recorded is the basis for manufacturers to assure the regulatory authorities of product identity, strengths, purity, and safety. The collected electronic records (e-records) also demonstrate that the manufacturing process adheres to the CGMP, including instructions. An element of reliable records is the integrity of such records. For the relevant stakeholders, such unauthorized alterations will be catalogued that the system is without the proper data integrity (DI) controls and would be deemed a noticeable deficiency. As a state or condition, e-records integrity is a measure of the validity and fidelity of related data. Based on the Universal Electronic Records Management (ERM) Requirements, Version 2.03 published by the National Archives and Records Administration (NARA), this book covers the requirements applicable to DI in the medicines' manufacturing practices regulations, pharmaceutical and biotechnological. This book presents the bounded characterization of e-records handling systems. The reader will have a reference of over fifty-three requirements that need to be agreed upon between the relevant stakeholders.
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Validation Of Instruments For The Investigation Of Sexuality In Vulnerable Groups

258,38€ + 10% CARD

 In Health Sciences it is necessary to have measuring instruments that allow analyzing various phenomena for better understanding, including those related to human sexuality. Undoubtedly, it is a sensitive issue to discuss, so it is important to have empirical indicators that are capable of measuring as accurately as possible concepts that interest researchers. The book Validation of instruments for the investigation of sexuality in vulnerable groups is written with the purpose of guiding the process of adaptation and validation of various instruments in the field of sexuality step by step to researchers, teachers and students This is a book that can be used in basic, intermediate and advanced research courses, as well as in research seminars or on methodology. It contains various validated instruments that make it useful for any area of health science and social science. This book collects, updates and analyzes the instruments currently available for the measurement of sexual health, provides a detailed guide to the questionnaires prepared, translated and validated so that health professionals can choose the instrument to use according to the subject of interest. Also, the information provided could be useful to researchers who want to know how to validate an instrument and consider carrying out research studies on issues related to human sexuality. To facilitate understanding, conceptual references related to the methodological design and the study phenomenon are included.
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Top 10 Challenges Of Big Data Analytics

212,00€ + 10% CARD

 The application of big data analytics in all fields of research is a critical driver for the competitiveness of all countries in the modern world. Currently, governments and industry generate large amounts of data driven by record keeping, compliance, regulations, data privacy, and dynamic requirements, and thus there is a need to create better mechanisms to analyse data, and hence support organizational development, as well as providing aid to policymakers’ decision-making processes. In this context, there are emerging disruptive opportunities because of Big Data: new business models, and vertical industry segments will emerge through shared relationships with all the stakeholders, and big data analytics is a major asset to support these dynamic relationships. This book was developed with the objective of analysing some of those challenges while at the same time providing a perspective of the potential of big data analytics, and the importance that analytics have for managers and for policymakers, to help define new strategies and new public policies, respectively. The book is focused on different sectors of activity (i.e. the Health sector, Public Administration, the Education sector, among others), and on different economic dimensions (i.e. Entrepreneurship, and Innovation) and links big data analytics to different fields of research, such as artificial intelligence and other emergent technologies; which are challenging organisations, governments, and societies, with the need to face the new imperative of being prepared for the very uncertain and tremendously complex future - in which big data analytics will play a very decisive and active role.
ENGLISH

Statistical Modelling Of Complex Correlated And Clustered Data Household Surveys In Africa

304,75€ + 10% CARD

 In order to assist a hospital in managing its resources and patients, modelling the length of stay is highly important. Recent health scholarship and practice has largely remained empirical, dwelling on primary data. This is critically important, first, because health planners generally rely on data to establish trends and patterns of disease burden at national or regional level. Secondly, epidemiologists depend on data to investigate possible risk factors of the disease. Yet the use of routine or secondary data has, in recent years, proved increasingly significant in such endeavours. Various units within the health systems collected such data primarily as part of the process for surveillance, monitoring and evaluation. Such data is sometimes periodically supplemented by population-based sample survey datasets. Thirdly, coupled with statistical tools, public health professionals are able to analyze health data and breathe life into what may turn out to be meaningless data. The main focus of this book is to present and showcase advanced modelling of routine or secondary survey data. Studies demonstrate that statistical literacy and knowledge are needed to understand health research outputs. The advent of user-friendly statistical packages combined with computing power and widespread availability of public health data resulted in more reported epidemiological studies in literature. However, analysis of secondary data, has some unique challenges. These are most widely reported health literature, so far has failed to recognize resulting in inappropriate analysis, and erroneous conclusions. This book presents the application of advanced statistical techniques to real examples emanating from routine or secondary survey data. These are essentially datasets in which the two editors have been involved, demonstrating how to tackle these challenges. Some of these challenges are: the complex sampling design of the surveys, the hierarchical nature of the data, the dependence of data at the sampled cluster and missing data among many more challenges. Using data from the Health Management Information System (HMIS), and Demographic and Health Survey (DHS), we provide various approaches and techniques of dealing with data complexity, how to handle correlated or clustered data. Each chapter presents an example code, which can be used to analyze similar data in R, Stata or SPSS. To make the book more concise, we have provided the codes on the book’s website. The book considers four main topics in the field of health sciences research: (i) structural equation modeling; (ii) spatial and spatio-temporal modeling; (iii) correlated or clustered copula modeling; and (iv) survival analysis. The book has potential to impact methodologists, including students undertaking Master’s or Doctoral level programmes as well as other researchers seeking some related reference on quantitative analysis in public health or health sciences or other areas where data of similar nature would be applicable. Further the book can be a resource to public health professionals interested in quantitative approaches to answer questions of epidemiological nature. Each chapter starts with a motivating background, review of statistical methods, analysis and results, ending discussion and possible recommendations.
ENGLISH

Multifaceted Autoethnography - Theoretical Advancements, Practical Considerations And Field Illustrations

278,25€ + 10% CARD

 This book provides theoretical, methodological and practical insights into the use of autoethnography as a research methodology. Autoethnography offers unique possibilities to gain an in-depth understanding of social and cultural contexts as well as research topics through description and reflective analysis of personal, lived experiences. In this methodology, the researchers' self-narratives enable exceptional insider perspectives into phenomena that can otherwise be inaccessible, or where similar situated understanding is difficult to attain through other methods. Yet, the book discusses how autoethnography goes beyond researchers' self-stories by making sense of the complex social worlds where the studies take place.The seven autoethnographies of the book demonstrate the multifacetedness of this approach in an intriguing and insightful way. The collection showcases different types of autoethnography, and illuminates practical as well as ethical considerations in conducting this type of research. The contributors of this collection also take us on fascinating journeys into their fields around the globe, demonstrating how autoethnography can be applied in versatile ways. The book highlights how it can be employed for different purposes and to approach multifarious cultural phenomena in a variety of academic disciplines, from information systems, tourism, and consumer research to education, literature and psychology.For researchers and students with an interest in qualitative research methodology, this book offers rich and captivating illustrations of the opportunities and benefits as well as practical tools for avoiding pitfalls while using this methodology. The field provides accounts into different cultural phenomena, making the book not only an educational, but also an exciting read.
ENGLISH

Univariate Normal Distribution With Applications

by Mohammad Ahsanullah

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