Medical Data Mining and Knowledge Discovery, Krzysztof J. Cios
Автор: Leiner, F.; Gaus, W.; Haux, R.; Knaup-Gregori, P. (Eds.) Leiner, F.; Gaus, W.; Haux, R.; Knaup-Gregori, P. (Eds.) Leiner, F.; Gaus, W.; Haux, R.; Knaup-Gregori, P. (Eds.) Название: Medical Data Management: A Practical Guide ISBN: 0387951598 ISBN-13(EAN): 9780387951591 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Medical Data Management is a systematic introduction to the basic methodology of professional clinical data management. It is an invaluable resource for all health care professionals involved in designing, assessing, adapting, or using clinical data management systems in hospitals, outpatient clinics, study centers, health plans, etc.
Автор: Jos? Luis Oliveira; V?ctor Maojo; Fernando Martin- Название: Biological and Medical Data Analysis ISBN: 3540296743 ISBN-13(EAN): 9783540296744 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 6th International Symposium on Biological and Medical Data Analysis, ISBMDA 2005, held in Aveiro, Portugal, in November 2005. This book is organized in topical sections on medical databases and information systems, data analysis and image processing, decision support systems, and more.
Название: Medical data privacy handbook ISBN: 3319236326 ISBN-13(EAN): 9783319236322 Издательство: Springer Рейтинг: Цена: 32142.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Medical Data Privacy Handbook
Автор: G. Wagner; Florian Leiner; Wilhelm Gaus; Reinhold Название: Medical Data Management ISBN: 0387955941 ISBN-13(EAN): 9780387955940 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Medical Data Management is a systematic introduction to the basic methodology of professional clinical data management. It is an invaluable resource for all health care professionals involved in designing, assessing, adapting, or using clinical data management systems in hospitals, outpatient clinics, study centers, health plans, etc.
Описание: This practical guide to medical sciences includes the Oxford Handbook of Clinical and Laboratory Investigation and the Oxford Handbook of Medical Sciences. An essential resource for medical students and trainees, this pack offers a clear account of the scientific principles and investigations underpinning clinical medicine.
Описание: Features statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting–edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data–driven healthcare analytics in an effort to provide more personalized and efficient healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance care quality and operational efficiency. Organized into two main sections, Part One features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part Two focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: Contributions from well–known international experts who shed light on new approaches in this growing area Discussions on contemporary methods and techniques to address the handling of rich and large–scale healthcare data as well as the overall optimization of healthcare system operations Numerous real–world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry Plentiful applications that showcase the various analytical methods and tools that can be applied to successful predictive modeling The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate–level courses typically offered within operations research, industrial engineering, business, and public health departments. Hui Yang, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor–based modeling and analysis of complex systems for process monitoring/control; system diagnostics/prognostics; quality improvement; and performance optimization with special focus on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self–organizing behaviors. Eva K. Lee, PhD, is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Director of the Center for Operations Research in Medicine and HealthCare, and Distinguished Scholar in Health System, Health Systems Institute at both Emory University School of Medicine and Georgia Institute of Technology. Her research interests include health risk prediction; early disease prediction and diagnosis; optimal treatment strategies and drug delivery; healthcare outcome analysis and treatment prediction; public health and medical preparedness; large–scale healthcare/medical decision analysis and quality improvement; clinical translational science; and business intelligence and organization transformation.
Автор: Panos Pardalos; Petros Xanthopoulos; Michalis Zerv Название: Data Mining for Biomarker Discovery ISBN: 1489996435 ISBN-13(EAN): 9781489996435 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book applies data mining techniques to the discovery and analysis of new biomarkers. Presenting new results, models and algorithms, coverage focuses on biomarker data integration, information retrieval methods and statistical machine learning techniques.
Автор: E. Carson; T. Deutsch; E. Ludwig Название: Dealing with Medical Knowledge ISBN: 0306448491 ISBN-13(EAN): 9780306448492 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In a systematic and clear manner, the authors discuss the problems associated with clinical decision making and explore the current methods to solve them. Well illustrated with case studies, this volume will prove to be an invaluable resource to system scientists, engineers, computer scientists, and members of the medical community.
Описание: Medical Statistics provides you with the essential knowledge and skills to undertake and understand evidence-based clinical research. This book is invaluable for researchers and clinicians engaged in a wide range of research studies. A practical, compr
Автор: Powell Название: Integration of Medical and Dental Care and Patient Data ISBN: 1447160282 ISBN-13(EAN): 9781447160281 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims to improve healthcare delivery by stating why isolated components should work together; showing how health information technology can aid collaboration, patient care and safety; documenting existing barriers and recommending how to remove them.
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