Advanced Classification Techniques for Healthcare Analysis


Book Description

Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals’ success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.




The Statistical Evaluation of Medical Tests for Classification and Prediction


Book Description

This book describes statistical techniques for the design and evaluation of research studies on medical diagnostic tests, screening tests, biomarkers and new technologies for classification and prediction in medicine.




Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis


Book Description

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images. - Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges - Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications - Introduces several techniques for medical image processing and analysis for CAD systems design




Current List of Medical Literature


Book Description

Includes section, "Recent book acquisitions" (varies: Recent United States publications) formerly published separately by the U.S. Army Medical Library.










Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities


Book Description

Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress in the diagnosis of heart disorders. Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities is a critical scholarly resource that examines the importance of automatic normalization and classification of electrocardiogram (ECG) signals of heart disorders. Featuring a wide range of topics such as common heart disorders, particle swarm optimization, and benchmarks functions, this publication is geared toward medical professionals, researchers, professionals, and students seeking current and relevant research on the categorization of ECG signals.




National Library of Medicine Classification


Book Description




Systems of Classification in Premodern Medical Cultures


Book Description

Systems of Classification in Premodern Medical Cultures puts historical disease concepts in cross-cultural perspective, investigating perceptions, constructions and experiences of health and illness from antiquity to the seventeenth century. Focusing on the systematisation and classification of illness in its multiple forms, manifestations and causes, this volume examines case studies ranging from popular concepts of illness through to specialist discourses on it. Using philological, historical and anthropological approaches, the contributions cover perspectives across time from East Asian, Middle Eastern and Mediterranean cultures, spanning ancient Egypt, Mesopotamia, Greece and Rome to Tibet and China. They aim to capture the multiplicity of disease concepts and medical traditions within specific societies, and to investigate the historical dynamics of stability and change linked to such concepts. Providing useful material for comparative research, the volume is a key resource for researchers studying the cultural conceptualisation of illness, including anthropologists, historians and classicists, among others.




Soft Tissue and Bone Tumours


Book Description

PLEASE NOTE: Text has been accidentally deleted from page 54 of this book. Please refer to the corrigenda (PDF file) posted on the Stylus Publishing web site or email [email protected] for an updated, printable page. ****When not purchasing directly from the official sales agents of the WHO, especially at online bookshops, please note that there have been issues with counterfeited copies. Buy only from known sellers and if there are quality issues, please contact the seller for a refund.***** Soft Tissue and Bone Tumours is the third volume in the 5th edition of the WHO series on the classification of human tumours. This series (also known as the WHO Blue Books) is regarded as the gold standard for the diagnosis of tumours and comprises a unique synthesis of histopathological diagnosis with digital and molecular pathology. These authoritative and concise reference books provide indispensable international standards for anyone involved in the care of patients with cancer or in cancer research, underpinning individual patient treatment as well as research into all aspects of cancer causation, prevention, therapy, and education. This volume will be of particular interest to pathologists, oncologists, surgeons, and epidemiologists who manage or research soft tissue and bone tumours. Sections are included on all recognized neoplasms of the soft tissue and bone, as well as on genetic tumour syndromes affecting these sites. Since the previous edition, there have been changes based on recent molecular and genetic information, with impact on clinical practice.