Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Risk Prediction Models For Hospital Readmission full books in PDF, epub, and Kindle. Read online Risk Prediction Models For Hospital Readmission ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Matteo Mantovani
Publisher :
ISBN 13 : 9781665401326
Total Pages : 0 pages
Book Rating : 4.4/5 (13 download)
Download or read book 2021 IEEE 9th International Conference on Healthcare Informatics written by Matteo Mantovani and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : R. Engelbrecht
Publisher : IOS Press
ISBN 13 : 1614998248
Total Pages : 132 pages
Book Rating : 4.6/5 (149 download)
Download or read book The Practice of Patient Centered Care: Empowering and Engaging Patients in the Digital Era written by R. Engelbrecht and published by IOS Press. This book was released on 2017-11-16 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical informatics is increasingly central to the effective and efficient delivery of healthcare today. This book presents the proceedings of the European Federation for Medical Informatics Special Topic Conference (EFMI STC 2017), held in Tel Aviv, Israel, in October 2017. The theme and title of the 2017 edition of this annual conference is ‘The practice of patient centered care: Empowering and engaging patients in the digital era’. The aim of the conference series is to increase interaction and collaboration between the stakeholder groups from both health and ICT across, but not limited to, Europe by providing a platform for researchers, data scientists, practitioners, decision makers and entrepreneurs to discuss sustainable and inclusive digital health innovations aimed at the engagement and empowerment of patients/consumers. The book is divided into 3 sections: full papers, short communications, and posters, and covers a wide range of topics from the field of medical informatics. It will be of interest to healthcare planners and providers everywhere.
Author : World Health Organization
Publisher : World Health Organization
ISBN 13 : 9241514019
Total Pages : 72 pages
Book Rating : 4.2/5 (415 download)
Download or read book Mental Health Atlas 2017 written by World Health Organization and published by World Health Organization. This book was released on 2018-08-09 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collects together data compiled from 177 World Health Organization Member States/Countries on mental health care. Coverage includes policies, plans and laws for mental health, human and financial resources available, what types of facilities providing care, and mental health programmes for prevention and promotion.
Author : Jingshan Li
Publisher : World Scientific
ISBN 13 : 9813220864
Total Pages : 322 pages
Book Rating : 4.8/5 (132 download)
Download or read book Stochastic Modeling And Analytics In Healthcare Delivery Systems written by Jingshan Li and published by World Scientific. This book was released on 2017-09-22 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been an increased interest in the field of healthcare delivery systems. Scientists and practitioners are constantly searching for ways to improve the safety, quality and efficiency of these systems in order to achieve better patient outcome.This book focuses on the research and best practices in healthcare engineering and technology assessment. With contributions from researchers in the fields of healthcare system stochastic modeling, simulation, optimization and management, this is a valuable read.
Author : Ian G. Duncan
Publisher : ACTEX Publications
ISBN 13 : 1566987695
Total Pages : 350 pages
Book Rating : 4.5/5 (669 download)
Download or read book Healthcare Risk Adjustment and Predictive Modeling written by Ian G. Duncan and published by ACTEX Publications. This book was released on 2011 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is listed on the Course of Reading for SOA Fellowship study in the Group & Health specialty track. Healthcare Risk Adjustment and Predictive Modeling provides a comprehensive guide to healthcare actuaries and other professionals interested in healthcare data analytics, risk adjustment and predictive modeling. The book first introduces the topic with discussions of health risk, available data, clinical identification algorithms for diagnostic grouping and the use of grouper models. The second part of the book presents the concept of data mining and some of the common approaches used by modelers. The third and final section covers a number of predictive modeling and risk adjustment case-studies, with examples from Medicaid, Medicare, disability, depression diagnosis and provider reimbursement, as well as the use of predictive modeling and risk adjustment outside the U.S. For readers who wish to experiment with their own models, the book also provides access to a test dataset.
Author : Institute of Medicine
Publisher : National Academies Press
ISBN 13 : 0309102162
Total Pages : 273 pages
Book Rating : 4.3/5 (91 download)
Download or read book Rewarding Provider Performance written by Institute of Medicine and published by National Academies Press. This book was released on 2007-02-17 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third installment in the Pathways to Quality Health Care series, Rewarding Provider Performance: Aligning Incentives in Medicare, continues to address the timely topic of the quality of health care in America. Each volume in the series effectively evaluates specific policy approaches within the context of improving the current operational framework of the health care system. The theme of this particular book is the staged introduction of pay for performance into Medicare. Pay for performance is a strategy that financially rewards health care providers for delivering high-quality care. Building on the findings and recommendations described in the two companion editions, Performance Measurement and Medicare's Quality Improvement Organization Program, this book offers options for implementing payment incentives to provide better value for America's health care investments. This book features conclusions and recommendations that will be useful to all stakeholders concerned with improving the quality and performance of the nation's health care system in both the public and private sectors.
Author : Petra Perner
Publisher : Springer
ISBN 13 : 3319627015
Total Pages : 356 pages
Book Rating : 4.3/5 (196 download)
Download or read book Advances in Data Mining. Applications and Theoretical Aspects written by Petra Perner and published by Springer. This book was released on 2017-06-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017. The 27 revised full papers presented were carefully reviewed and selected from 71 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine, and in process control in industry and society.
Author : Nello Cristianini
Publisher : Cambridge University Press
ISBN 13 : 9780521780193
Total Pages : 216 pages
Book Rating : 4.7/5 (81 download)
Download or read book An Introduction to Support Vector Machines and Other Kernel-based Learning Methods written by Nello Cristianini and published by Cambridge University Press. This book was released on 2000-03-23 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive introduction to Support Vector Machines, a generation learning system based on advances in statistical learning theory.
Author : Leo Anthony Celi
Publisher : Springer Nature
ISBN 13 : 3030479943
Total Pages : 471 pages
Book Rating : 4.0/5 (34 download)
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.
Author : Leanne M. Williams, Ph.D.
Publisher : American Psychiatric Pub
ISBN 13 : 1615371583
Total Pages : 302 pages
Book Rating : 4.6/5 (153 download)
Download or read book Precision Psychiatry written by Leanne M. Williams, Ph.D. and published by American Psychiatric Pub. This book was released on 2021-10-15 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision psychiatry, as outlined in this groundbreaking book, presents a new path forward. By integrating findings from basic and clinical neuroscience, clinical practice, and population-level data, the field seeks to develop therapeutic approaches tailored for specific individuals with a specific constellation of health issues, characteristics, strengths, and symptoms.
Author : Drew Conway
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449330533
Total Pages : 323 pages
Book Rating : 4.4/5 (493 download)
Download or read book Machine Learning for Hackers written by Drew Conway and published by "O'Reilly Media, Inc.". This book was released on 2012-02-13 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research. Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text Use linear regression to predict the number of page views for the top 1,000 websites Learn optimization techniques by attempting to break a simple letter cipher Compare and contrast U.S. Senators statistically, based on their voting records Build a “whom to follow” recommendation system from Twitter data
Author : Max Kuhn
Publisher : Springer Science & Business Media
ISBN 13 : 1461468493
Total Pages : 595 pages
Book Rating : 4.4/5 (614 download)
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 595 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.
Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309377722
Total Pages : 473 pages
Book Rating : 4.3/5 (93 download)
Download or read book Improving Diagnosis in Health Care written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2015-12-29 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.
Author : Gary D. Miner
Publisher : Academic Press
ISBN 13 : 012411640X
Total Pages : 1111 pages
Book Rating : 4.1/5 (241 download)
Download or read book Practical Predictive Analytics and Decisioning Systems for Medicine written by Gary D. Miner and published by Academic Press. This book was released on 2014-09-27 with total page 1111 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety, patient communication, and patient information. Through the use of predictive analytic models and applications, this book is an invaluable resource to predict more accurate outcomes to help improve quality care in the healthcare and medical industries in the most cost–efficient manner.Practical Predictive Analytics and Decisioning Systems for Medicine provides the basics of predictive analytics for those new to the area and focuses on general philosophy and activities in the healthcare and medical system. It explains why predictive models are important, and how they can be applied to the predictive analysis process in order to solve real industry problems. Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions. - Includes models and applications of predictive analytics why they are important and how they can be used in healthcare and medical research - Provides real world step-by-step tutorials to help beginners understand how the predictive analytic processes works and to successfully do the computations - Demonstrates methods to help sort through data to make better observations and allow you to make better predictions
Author : Pieter Kubben
Publisher : Springer
ISBN 13 : 3319997130
Total Pages : 219 pages
Book Rating : 4.3/5 (199 download)
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.
Author : Longbing Cao
Publisher :
ISBN 13 : 9781450336642
Total Pages : 2338 pages
Book Rating : 4.3/5 (366 download)
Download or read book Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining written by Longbing Cao and published by . This book was released on 2015 with total page 2338 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ronda Hughes
Publisher : Department of Health and Human Services
ISBN 13 :
Total Pages : 592 pages
Book Rating : 4.:/5 (318 download)
Download or read book Patient Safety and Quality written by Ronda Hughes and published by Department of Health and Human Services. This book was released on 2008 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Nurses play a vital role in improving the safety and quality of patient car -- not only in the hospital or ambulatory treatment facility, but also of community-based care and the care performed by family members. Nurses need know what proven techniques and interventions they can use to enhance patient outcomes. To address this need, the Agency for Healthcare Research and Quality (AHRQ), with additional funding from the Robert Wood Johnson Foundation, has prepared this comprehensive, 1,400-page, handbook for nurses on patient safety and quality -- Patient Safety and Quality: An Evidence-Based Handbook for Nurses. (AHRQ Publication No. 08-0043)." - online AHRQ blurb, http://www.ahrq.gov/qual/nurseshdbk/
