Download or read book Assessing the Performance of Mortality Prediction Models written by and published by . This book was released on 1993 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concerns about the cost and quality of health care have resulted in a national effort to determine the health outcomes of medical and surgical services. This report concentrates on developing criteria that risk-assessment systems should meet to permit consumers to intelligently evaluate them. It also presents a comparison of several selected mortality prediction models.
Download or read book Assessing the Performance of Mortality Prediction Models written by David C. Hadorn and published by . This book was released on 1993 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concerns about the cost and quality of health care have resulted in a national effort to determine the health outcomes of medical and surgical services. This report concentrates on developing criteria that risk-assessment systems should meet to permit consumers to intelligently evaluate them. It also presents a comparison of several selected mortality prediction models.
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 Clinical Prediction Models written by Ewout W. Steyerberg and published by Springer Science & Business Media. This book was released on 2008-12-16 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prediction models are important in various fields, including medicine, physics, meteorology, and finance. Prediction models will become more relevant in the medical field with the increase in knowledge on potential predictors of outcome, e.g. from genetics. Also, the number of applications will increase, e.g. with targeted early detection of disease, and individualized approaches to diagnostic testing and treatment. The current era of evidence-based medicine asks for an individualized approach to medical decision-making. Evidence-based medicine has a central place for meta-analysis to summarize results from randomized controlled trials; similarly prediction models may summarize the effects of predictors to provide individu- ized predictions of a diagnostic or prognostic outcome. Why Read This Book? My motivation for working on this book stems primarily from the fact that the development and applications of prediction models are often suboptimal in medical publications. With this book I hope to contribute to better understanding of relevant issues and give practical advice on better modelling strategies than are nowadays widely used. Issues include: (a) Better predictive modelling is sometimes easily possible; e.g. a large data set with high quality data is available, but all continuous predictors are dich- omized, which is known to have several disadvantages.
Download or read book Fundamentals of Clinical Data Science written by Pieter Kubben and published by Springer. This book was released on 2018-12-21 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Download or read book Prognosis Research in Healthcare written by Richard D. Riley and published by Oxford University Press. This book was released on 2019-01-17 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: "What is going to happen to me?" Most patients ask this question during a clinical encounter with a health professional. As well as learning what problem they have (diagnosis) and what needs to be done about it (treatment), patients want to know about their future health and wellbeing (prognosis). Prognosis research can provide answers to this question and satisfy the need for individuals to understand the possible outcomes of their condition, with and without treatment. Central to modern medical practise, the topic of prognosis is the basis of decision making in healthcare and policy development. It translates basic and clinical science into practical care for patients and populations. Prognosis Research in Healthcare: Concepts, Methods and Impact provides a comprehensive overview of the field of prognosis and prognosis research and gives a global perspective on how prognosis research and prognostic information can improve the outcomes of healthcare. It details how to design, carry out, analyse and report prognosis studies, and how prognostic information can be the basis for tailored, personalised healthcare. In particular, the book discusses how information about the characteristics of people, their health, and environment can be used to predict an individual's future health. Prognosis Research in Healthcare: Concepts, Methods and Impact, addresses all types of prognosis research and provides a practical step-by-step guide to undertaking and interpreting prognosis research studies, ideal for medical students, health researchers, healthcare professionals and methodologists, as well as for guideline and policy makers in healthcare wishing to learn more about the field of prognosis.
Download or read book Leveraging Data Science for Global Health written by Leo Anthony Celi and published by Springer Nature. This book was released on 2020-07-31 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
Download or read book When Children Die written by Institute of Medicine and published by National Academies Press. This book was released on 2003-02-09 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: The death of a child is a special sorrow. No matter the circumstances, a child's death is a life-altering experience. Except for the child who dies suddenly and without forewarning, physicians, nurses, and other medical personnel usually play a central role in the lives of children who die and their families. At best, these professionals will exemplify "medicine with a heart." At worst, families' encounters with the health care system will leave them with enduring painful memories, anger, and regrets. When Children Die examines what we know about the needs of these children and their families, the extent to which such needs areâ€"and are notâ€"being met, and what can be done to provide more competent, compassionate, and consistent care. The book offers recommendations for involving child patients in treatment decisions, communicating with parents, strengthening the organization and delivery of services, developing support programs for bereaved families, improving public and private insurance, training health professionals, and more. It argues that taking these steps will improve the care of children who survive as well as those who do notâ€"and will likewise help all families who suffer with their seriously ill or injured child. Featuring illustrative case histories, the book discusses patterns of childhood death and explores the basic elements of physical, emotional, spiritual, and practical care for children and families experiencing a child's life-threatening illness or injury.
Download or read book 2021 4th International Conference of Computer and Informatics Engineering IC2IE written by IEEE Staff and published by . This book was released on 2021-09-14 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things Biomedical Engineering and Bioinformatics Information Systems and Technologies Networks and Telecommunication Systems Robotics, Control and Automation Signal, Image and Video Processing Soft Computing and Intelligent System Computer Network and Architecture Content Based Multimedia Retrieval Digital Forensic Distributed System E Learning & Distance Learning Enterprise Information System High Performance Computing Information Retrieval Information Security & Risk Management Infrastructure Systems and Services Knowledge Data Discovery Software Engineering Multimedia Application Parallel Programming Pattern Recognition Remote Sensing Software Engineering E Business & E Commerce Human Computer Interaction Information System Natural Language Processing Pattern Recognition Artificial Intelligence Cloud & Grid Computing E Government& IT Governance Embedded System Image Processing & Computer Vision Geographic Information System
Download or read book Regression Modeling Strategies written by Frank E. Harrell and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".
Download or read book Evaluating Critical Care written by William J. Sibbald and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Measuring the quality of a complex service like critical care that combines the highest technology with the most intimate caring is a challenge. Recently, con sumers, clinicians, and payers have requested more formal assessments and comparisons of the quality and costs of medical care [2). Donabedian [1) pro posed a framework for thinking about the quality of medical care that separates quality into three components: structure, process, and outcome. An instructive analogy for understanding this framework is to imagine a food critic evaluating the quality of a restaurant. The critic might comment on the decoration and lighting ofthe restaurant, how close the tables are to each other, the extent ofthe wine list and where the chef trained. These are all evaluations of the restaurant structure. In addition, the critic might comment on whether the service was courteous and timely - measures of process. Finally, the critic might comment on outcomes like customer satisfaction or food poisoning. Similarly, to a health care critic, structure is the physical and human resources used to deliver medi cal care. Processes are the actual treatments offered to patients. Finally,outcomes are what happens to patients, for example, mortality, quality of life,and satisfac tion with care (Table 1). There is a debate about which of these measurements is the most important measure of quality.
Download or read book Chronic Liver Failure written by Pere Ginès and published by Springer Science & Business Media. This book was released on 2010-11-03 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chronic liver failure is a frequent condition in clinical practice that encompasses all manifestations of patients with end-stage liver diseases. Chronic liver failure is a multiorgan syndrome that affects the liver, kidneys, brain, heart, lungs, adrenal glands, and vascular, coagulation, and immune systems. Chronic Liver Failure: Mechanisms and Management covers for the first time all aspects of chronic liver failure in a single book, from pathogenesis to current management. Each chapter is written by a worldwide known expert in their area and all provide the latest state-of-the-art knowledge. This volume is specifically designed to provide answers to clinical questions to all doctors dealing with patients with liver diseases, not only clinical gastroenterologists and hepatologists, but also to internists, nephrologists, intensive care physicians, and transplant surgeons.
Download or read book Introduction to General and Generalized Linear Models written by Henrik Madsen and published by CRC Press. This book was released on 2010-11-09 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models presents likelihood-based techniques for statistical modelling using various types of data. Implementations using R are provided throughout the text, although other software packages are also discussed. Numerous
Download or read book Developments in Demographic Forecasting written by Stefano Mazzuco and published by Springer Nature. This book was released on 2020-09-28 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents new developments in the field of demographic forecasting, covering both mortality, fertility and migration. For each component emerging methods to forecast them are presented. Moreover, instruments for forecasting evaluation are provided. Bayesian models, nonparametric models, cohort approaches, elicitation of expert opinion, evaluation of probabilistic forecasts are some of the topics covered in the book. In addition, the book is accompanied by complementary material on the web allowing readers to practice with some of the ideas exposed in the book. Readers are encouraged to use this material to apply the new methods to their own data. The book is an important read for demographers, applied statisticians, as well as other social scientists interested or active in the field of population forecasting. Professional population forecasters in statistical agencies will find useful new ideas in various chapters.
Download or read book Reconstruction Segmentation and Analysis of Medical Images written by Maria A. Zuluaga and published by Springer. This book was released on 2017-01-18 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2016, and the First International Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, HVSMR 2016. The 17 revised regular papers presented in this book were carefully reviewed and selected from a total of 21 submissions. The papers cover following topics: Registration; Reconstruction; Deep learning for heart segmentation; Discrete optimization and probabilistic intensity modeling; Atlas-based strategies; Random forests.
Download or read book Patient Safety and Quality of Care in Intensive Care Medicine written by Jean-Daniel Chiche and published by MWV. This book was released on 2009 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The maxim "Primum non nocere" is almost as old as the practice of medicine. In combination with the principles of beneficence, autonomy and justice, and whilst keeping in mind the confidence and dignity of the patient, it should constitute the basis of our behaviours as physicians and nurses. Since diagnostic and therapeutic interventions have become more complex and their risk/benefit ratios more difficult to assess, the importance of safety and quality of care rises. Avoiding the infliction of harm on our patients has moved into the focus of clinical medicine"--Publisher's description.
Download or read book Applied Predictive Modeling written by Max Kuhn and published by Springer Science & Business Media. This book was released on 2013-05-17 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
