Download or read book Cases on Health Outcomes and Clinical Data Mining Studies and Frameworks written by Cerrito, Patricia and published by IGI Global. This book was released on 2010-02-28 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Because so much data is now becoming readily available to investigate health outcomes, it is important to examine just how statistical models are used to do this. This book studies health outcomes research using data mining techniques"--Provided by publisher.
Download or read book Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes Methods for Prediction and Analysis written by Cerrito, Patricia and published by IGI Global. This book was released on 2010-06-30 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book shows how the investigation of healthcare databases can be used to examine physician decisions to develop evidence-based treatment guidelines that optimize patient outcomes"--Provided by publisher.
Download or read book Process Mining in Healthcare written by Ronny S. Mans and published by Springer. This book was released on 2015-03-12 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: What are the possibilities for process mining in hospitals? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model. This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.
Download or read book Big Data and Health Analytics written by Katherine Marconi and published by CRC Press. This book was released on 2014-12-20 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. Written for health care professionals and executives, this book presents the current thinking of academic and industry researchers and leaders from around the world. Using non-technical language, it includes case studies that illustrate the business processes that underlie the use of big data and health analytics to improve health care delivery.
Download or read book The Remington Registry of Outstanding Professionals 2011 2012 written by J Alex Ficarra and published by Author House. This book was released on 2012-09-11 with total page 839 pages. Available in PDF, EPUB and Kindle. Book excerpt: Undoubtedly growing up during the Vietnam War, water gate and gas shortages can have a profound effect on a child. Also being the son of immigrant parents most certainly can lead to a traumatizing clash of cultures and the understanding of right and wrong. With that being said the Remington Company gave me the honor of a lifetime by letting me express my thoughts in unison with telling the brilliant stories of professionals around the world. As I wrote endlessly 24 hours a day I realized that our world is full of hope and real promise. I realized that it wasnt about war, ideology and the pursuit of global domination. I realized that in the pages of this great book great things were about to happen if only these stories can be made public. I realized that I had the opportunity of a lifetime by expressing the Humanitarian attributes that these professionals continually made. After many years of writing I realized that the Remington Company had a distinct and noble purpose and perhaps we could not change the present but we could certainly try to change our future. With that we created our Mentorship Program which gets these prolific stories out to the children. We wrote the stories with zest but never crossed the line of respect or dignity. We wished to capture the hearts of our audience and prove to them that giving was not an option but more so our duty as life forms on our planet. Today our book has a theme Inspiring the youth of America. This theme was our way of telling the world Lets hold hands and prepare our children for a better life. today I continue to write for the Registry. My life has irrevocably changed for the better. I volunteer for any thing all the time. I enjoy moments of quiet and the appreciation of our environment. I read these biographies in amazement as everyone else does and it never seems to get uneventful. Either way I sincerely hope you enjoy these biographies and use them to strengthen your spirit and confidence about our existence as a species on this planet. I patiently wait for divine intervention in order to write my next biography and am happy to serve the brilliant members of the Remington Registry of Outstanding Professionals.
Download or read book Research Anthology on Machine Learning Techniques Methods and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2022-05-13 with total page 1516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning continues to have myriad applications across industries and fields. To ensure this technology is utilized appropriately and to its full potential, organizations must better understand exactly how and where it can be adapted. Further study on the applications of machine learning is required to discover its best practices, challenges, and strategies. The Research Anthology on Machine Learning Techniques, Methods, and Applications provides a thorough consideration of the innovative and emerging research within the area of machine learning. The book discusses how the technology has been used in the past as well as potential ways it can be used in the future to ensure industries continue to develop and grow. Covering a range of topics such as artificial intelligence, deep learning, cybersecurity, and robotics, this major reference work is ideal for computer scientists, managers, researchers, scholars, practitioners, academicians, instructors, and students.
Download or read book Clinical Data as the Basic Staple of Health Learning written by Institute of Medicine and published by National Academies Press. This book was released on 2011-01-14 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Successful development of clinical data as an engine for knowledge generation has the potential to transform health and health care in America. As part of its Learning Health System Series, the Roundtable on Value & Science-Driven Health Care hosted a workshop to discuss expanding the access to and use of clinical data as a foundation for care improvement.
Download or read book Data Mining and Medical Knowledge Management written by Petr Berka and published by IGI Global Snippet. This book was released on 2009 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment. ""Data Mining and Medical Knowledge Management: Cases and Applications"" presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.
Download or read book Clinical Data Mining in an Allied Health Organisation written by Roslyn Giles and published by Sydney University Press. This book was released on 2018-08-30 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical Data Mining in an Allied Health Organisation: A Real World Experience shows how data-mining methodology can be used to promote quality management and research, reflecting on the ways in which this approach transforms practice by encouraging practitioner and organisational learning, client-focused service improvement and professional role satisfaction.
Download or read book Analytics in Healthcare and the Life Sciences written by Dwight McNeill and published by Pearson Education. This book was released on 2014 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make healthcare analytics work: leverage its powerful opportunities for improving outcomes, cost, and efficiency.This book gives you thepractical frameworks, strategies, tactics, and case studies you need to go beyond talk to action. The contributing healthcare analytics innovators survey the field's current state, present start-to-finish guidance for planning and implementation, and help decision-makers prepare for tomorrow's advances. They present in-depth case studies revealing how leading organizations have organized and executed analytic strategies that work, and fully cover the primary applications of analytics in all three sectors of the healthcare ecosystem: Provider, Payer, and Life Sciences. Co-published with the International Institute for Analytics (IIA), this book features the combined expertise of IIA's team of leading health analytics practitioners and researchers. Each chapter is written by a member of the IIA faculty, and bridges the latest research findings with proven best practices. This book will be valuable to professionals and decision-makers throughout the healthcare ecosystem, including provider organization clinicians and managers; life sciences researchers and practitioners; and informaticists, actuaries, and managers at payer organizations. It will also be valuable in diverse analytics, operations, and IT courses in business, engineering, and healthcare certificate programs.
Download or read book Interoperability in Healthcare Information Systems Standards Management and Technology written by Sicilia, Miguel Ángel and published by IGI Global. This book was released on 2013-06-30 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the standards in electronic health records and general healthcare services continue to evolve, many organizations push to connect interoperability with public service and basic citizenship rights. This poses significant technical and organizational challenges that are the focus of many research and standardization efforts. Interoperability in Healthcare Information Systems: Standards, Management and Technology provides a comprehensive collection on the overview of electronic health records and health services interoperability and the different aspects representing its outlook in a framework that is useful for practitioners, researchers, and decision-makers.
Download or read book Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes written by John Cerrito*1954-* and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book shows how the investigation of healthcare databases can be used to examine physician decisions to develop evidence-based treatment guidelines that optimize patient outcomes"--Provided by publisher
Download or read book Registries for Evaluating Patient Outcomes written by Agency for Healthcare Research and Quality/AHRQ and published by Government Printing Office. This book was released on 2014-04-01 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
Download or read book A Framework for Measuring and Mitigating Bias in Electronic Health Record Data written by Elizabeth Campbell and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electronic Health Records (EHRs) are valuable sources of healthcare data with tremendous potential to improve patient care and reduce financial costs. Advanced data mining and analytical methods are necessary to obtain, transform, and analyze EHR data for secondary uses such as clinical and health policy research, and machine learning methods are key to addressing challenges in secondary EHR uses. However, developing machine learning models equitably is a significant challenge. As machine learning tools become more ubiquitous in healthcare research and clinical practice, it is critical that predictive models are developed that work to alleviate, rather than exacerbate, existing disparities in the healthcare system. Bias may be introduced into a machine learning model through the data used to train the model, algorithm selection, or in how a model is implemented in an applied setting. In this work, we present a framework for assessing and alleviating bias in dataset development for a classification model derived from EHR data. Classification, which refers to inputting observations from data into categories, is a common machine learning task and a method that is increasingly used in medical research. Classification may be used to predict future health outcomes, identify patients who are at risk for developing a condition, and to make clinical diagnoses. In this work, we present a case study in childhood obesity incidence prediction where a classification model is developed that aims to predict future obesity among pediatric patients based on demographic data and the presence of clinical diagnostic patterns in their medical history. We use easily accessible EHR data that may be obtained to predict other outcomes of interest, and present a method to evaluate data to develop classifiers that may be used for prediction of other chronic diseases (such as heart disease, diabetes, and asthma). First, temporal pattern mining is applied to EHR data to identify common diagnostic patterns that surround pediatric obesity incidence. Next, a dataset is developed for the study cohort, that indicates whether or not patients had the temporal condition patterns that were previously identified and demographic information (such as race/ethnicity, gender, etc.) obtained from their EHR. Then, classification models are trained and tested using this dataset. We develop a framework for assessing bias in EHR-derived datasets, and present its application in our pediatric obesity incidence case study. We conclude by discussing implications of our work in healthcare research and outlining directions for future research, including assessing and alleviating bias in algorithm selection and model development.
Download or read book Text Mining written by Sholom M. Weiss and published by Springer Science & Business Media. This book was released on 2010-01-08 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they? In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi?ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar.
Download or read book Creating Knowledge based Healthcare Organizations written by Nilmini Wickramasinghe and published by IGI Global. This book was released on 2005-01-01 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation The purpose of Creating Knowledge Based Healthcare Organizations is to bring together some high quality concepts closely related to how knowledge management can be utilised in healthcare.
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 327 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.