Download or read book Exploring Data in Engineering the Sciences and Medicine written by Ronald Pearson and published by Oxford University Press, USA. This book was released on 2011-02-03 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces various widely available exploratory data analysis methods, emphasizing those that are most useful in the preliminary exploration of large datasets involving mixed data types. Topics include descriptive statistics, graphical analysis tools, regression modeling and spectrum estimation, along with practical issues like outliers, missing data, and variable selection.
Download or read book Exploratory Data Analytics for Healthcare written by R. Lakshmana Kumar and published by CRC Press. This book was released on 2021-12-24 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way. The book addresses the complete data visualization technologies workflow, explores basic and high-level concepts of computer science and engineering in medical science, and provides an overview of the clinical scientific research areas that enables smart diagnosis equipment. It will discuss techniques and tools used to explore large volumes of medical data and offers case studies that focus on the innovative technological upgradation and challenges faced today. The primary audience for the book includes specialists, researchers, graduates, designers, experts, physicians, and engineers who are doing research in this domain.
Download or read book Exploratory Data Analysis Using R written by Ronald K. Pearson and published by CRC Press. This book was released on 2018-05-04 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data. The book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. The book ends with a chapter on "keeping it all together" that includes managing the R installation, managing files, documenting, and an introduction to reproducible computing. The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. it keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available. About the Author: Ronald K. Pearson holds the position of Senior Data Scientist with GeoVera, a property insurance company in Fairfield, California, and he has previously held similar positions in a variety of application areas, including software development, drug safety data analysis, and the analysis of industrial process data. He holds a PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology and has published conference and journal papers on topics ranging from nonlinear dynamic model structure selection to the problems of disguised missing data in predictive modeling. Dr. Pearson has authored or co-authored books including Exploring Data in Engineering, the Sciences, and Medicine (Oxford University Press, 2011) and Nonlinear Digital Filtering with Python. He is also the developer of the DataCamp course on base R graphics and is an author of the datarobot and GoodmanKruskal R packages available from CRAN (the Comprehensive R Archive Network).
Download or read book Exploring Data and Metrics of Value at the Intersection of Health Care and Transportation written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-12-28 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evidence from the public health sector demonstrates that health care is only one of the determinants of health, which also include genes, behavior, social factors, and the built environment. These contextual elements are key to understanding why health care organizations are motivated to focus beyond their walls and to consider and respond in unprecedented ways to the social needs of patients, including transportation needs. In June 2016 the National Academies of Sciences, Engineering, and Medicine held a joint workshop to explore partnerships, data, and measurement at the intersection of the health care and transportation sectors. This publication summarizes the presentations and discussions from the workshop.
Download or read book Exploring Data and Metrics of Value at the Intersection of Health Care and Transportation written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-11-28 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evidence from the public health sector demonstrates that health care is only one of the determinants of health, which also include genes, behavior, social factors, and the built environment. These contextual elements are key to understanding why health care organizations are motivated to focus beyond their walls and to consider and respond in unprecedented ways to the social needs of patients, including transportation needs. In June 2016 the National Academies of Sciences, Engineering, and Medicine held a joint workshop to explore partnerships, data, and measurement at the intersection of the health care and transportation sectors. This publication summarizes the presentations and discussions from the workshop.
Download or read book Exploring the History of Medicine written by John Hudson Tiner and published by New Leaf Publishing Group. This book was released on 1999-04-01 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: From surgery to vaccines, man has made great strides in the field of medicine. Quality of life has improved dramatically in the last few decades alone, and the future is bright. But students must not forget that God provided humans with minds and resources to bring about these advances. A biblical perspective of healing and the use of medicine provides the best foundation for treating diseases and injury. In Exploring the World of Medicine, author John Hudson Tiner reveals the spectacular discoveries that started with men and women who used their abilities to better mankind and give glory to God. The fascinating history of medicine comes alive in this book, providing students with a healthy dose of facts, mini-biographies, and vintage illustrations. Includes chapter tests and index.
Download or read book Python for Everybody written by Charles R. Severance and published by . This book was released on 2016-04-09 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.
Download or read book Exploring the Thalamus written by S. Murray Sherman and published by Elsevier. This book was released on 2001-01-02 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: The thalamus is a group of cells placed centrally in the brain that serve a critical role in controlling how both sensory and motor signals are passed from one part of the cerebral cortex to another. Essentially, all information reaching the cerebral cortex and thus consciousness is relayed through the thalamus. The role of the thalamus in controlling the flow of information (such as visual, auditory, and motor) to the cortex has only recently begun to be understood. This book provides an in-depth look at the function of the thalamus and its role as relayer of information to the cerebral cortex. The authors explore how the thalamus controls messages that are passed to the cortex and they introduce the novel suggestion that the thalamus serves a critical role in controlling how messages pass from one part of the cortex to another. Exploring the Thalamus is a comprehensive, up-to-date reference for researchers. It discusses problems concerning the function and structure of the thalamus and concludes each chapter with thought-provoking questions regarding future research. Focuses on thalamocortical interrelationships Discusses important problems concerning the function and structure of the thalamus Concludes each chapter with thought-provoking questions requiring future research
Download or read book Data Analytics in Biomedical Engineering and Healthcare written by Kun Chang Lee and published by Academic Press. This book was released on 2020-10-18 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks. Examines the development and application of data analytics applications in biomedical data Presents innovative classification and regression models for predicting various diseases Discusses genome structure prediction using predictive modeling Shows readers how to develop clinical decision support systems Shows researchers and specialists how to use hybrid learning for better medical diagnosis, including case studies of healthcare applications using the MapReduce and Hadoop frameworks
Download or read book Science and Technology in Medicine written by Andras Gedeon and published by Springer Science & Business Media. This book was released on 2006-02-16 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: The history and evolution of the fields of science and medicine are symbiotically linked and thus are mutually dependent. Discoveries in one domain have allowed for progress in the other, and it is nearly impossible to study one area in isolation. The influence of science and technologic discoveries on medicine has profoundly impacted the way physicians practice and has resulted in an extended life expectancy and quality of life that our ancestors never dreamed possible. Science and Technology in Medicine is a collection of 99 essays based on landmark publications that have appeared in the medical literature over the past 500 years. Each essay includes a summary of the article or chapter; text and images reproduced directly from the original source; a short biography of the author(s); and a discussion about the significance of the discovery and its subsequent influence on later developments. Original material by the likes of Dürer, Bernoulli, Doppler, Pasteur, Trendelenburg, Curie and Röntgen offers readers a rare glimpse at publications housed in archives around the world, beautifully reproduced in one fascinating volume.
Download or read book Feasibility of Using In Vehicle Video Data to Explore How to Modify Driver Behavior That Causes Nonrecurring Congestion written by Hesham Rakha and published by Transportation Research Board. This book was released on 2011 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This research report - a product of the Reliability focus area of the second Strategic Highway Research Program (SHRP 2) - presents findings on the feasibility of using existing in-vehicle data sets, collected in naturalistic driving settings, to make inferences about the relationship between observed driver behavior and nonrecurring congestion. General guidance is provided on the protocols and procedures for conducting video data reduction analysis. In addition, the report includes technical guidance on the features, technologies, and complementary data sets that researchers should consider when designing future instrumented in-vehicle data collection studies. Finally, a new modeling approach is advanced for travel time reliability performance measurement across a variety of traffic congestion conditions"--Publisher's description.
Download or read book Exploring Data and Metrics of Value at the Intersection of Health Care and Transportation written by THERESA. WIZEMANN and published by . This book was released on 1969 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Evidence from the public health sector demonstrates that health care is only one of the determinants of health, which also include genes, behavior, social factors, and the built environment. These contextual elements are key to understanding why health care organizations are motivated to focus beyond their walls and to consider and respond in unprecedented ways to the social needs of patients, including transportation needs. In June 2016 the National Academies of Sciences, Engineering, and Medicine held a joint workshop to explore partnerships, data, and measurement at the intersection of the health care and transportation sectors. This publication summarizes the presentations and discussions from the workshop"--Publisher's description.
Download or read book Data Preparation and Exploration written by Robert Hoyt and published by . This book was released on 2020-11-13 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides the steps to analyze any dataset. Specifically, it helps to clean, visualize, and explore the data. These steps are critical before an analysis can be performed or a model built
Download or read book Refining the Concept of Scientific Inference When Working with Big Data written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-03-24 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of utilizing big data to enable scientific discovery has generated tremendous excitement and investment from both private and public sectors over the past decade, and expectations continue to grow. Using big data analytics to identify complex patterns hidden inside volumes of data that have never been combined could accelerate the rate of scientific discovery and lead to the development of beneficial technologies and products. However, producing actionable scientific knowledge from such large, complex data sets requires statistical models that produce reliable inferences (NRC, 2013). Without careful consideration of the suitability of both available data and the statistical models applied, analysis of big data may result in misleading correlations and false discoveries, which can potentially undermine confidence in scientific research if the results are not reproducible. In June 2016 the National Academies of Sciences, Engineering, and Medicine convened a workshop to examine critical challenges and opportunities in performing scientific inference reliably when working with big data. Participants explored new methodologic developments that hold significant promise and potential research program areas for the future. This publication summarizes the presentations and discussions from the workshop.
Download or read book Ways of Knowing written by John V. Pickstone and published by Manchester University Press. This book was released on 2000 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classic MUP text discusses the historical development of science, technology and medicine in Western Europe and North America from the Renaissance to the present. Combining theoretical discussion and empirical illustration, it redefines the geography of science, technology and medicine.
Download or read book Secondary Analysis of Electronic Health Records written by MIT Critical Data and published by Springer. This book was released on 2016-09-09 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
Download or read book Handbook of Research on Engineering Business and Healthcare Applications of Data Science and Analytics written by Bhushan Patil and published by Engineering Science Reference. This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book explores the application of data science and analytics in the engineering, healthcare, and business sectors"--
