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.

There is a significant deficiency among contemporary medicine practices reflected by experts making medical decisions for a large proportion of the population for which no or minimal data exists. Fortunately, our capacity to procure and apply such information is rapidly rising. As medicine becomes more individualized, the implementation of health IT and data interoperability become essential components to delivering quality healthcare. Quality Assurance in the Era of Individualized Medicine is a collection of innovative research on the methods and utilization of digital readouts to fashion an individualized therapy instead of a mass-population-directed strategy. While highlighting topics including assistive technologies, patient management, and clinical practices, this book is ideally designed for health professionals, doctors, nurses, hospital management, medical administrators, IT specialists, data scientists, researchers, academicians, and students.

Neurology: A Clinician's Approach teaches a symptom-oriented approach to the 20 most common problems which face neurologists in training. Emphasizing the primary importance of the patient history, the reader is instructed which questions to ask in order to elicit the chief complaint, how to ask these questions, and how to interpret the answers. The neurologic examination is presented as a flexible diagnostic tool rather than as a rigid exercise to be performed by rote and without reference to the chief complaint. Each chapter integrates evidence-based and experience-based approaches to diagnostic testing and treatment. Frequently-encountered conditions, uncommon 'zebras', and non-neurologic mimics of nervous system dysfunction are all given appropriate weight. Neurology: A Clinician's Approach is essential reading for neurologists in training, including neurology residents and medical students.

While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.

Modern practical medicine requires high tech in diagnostics and therapy and in consequence in education. All disciplines use computers to handle large data bases allowing individual therapy, to interpret large data bases in form of neuronal signals, help visualization of organs during surgery. This book contains chapters on personalised therapy, advanced diagnostics in neurology, modern techniques like robotic surgery (da Vinci robots), 3D-printing and 3D-bioprinting, augmented reality applied in medical diagnostics and therapy. It is impossible without fast large scale data mining in both: clinical data interpretation as well as in hospital organization including hybrid surgery rooms and personal data flow. The book is based on a course for medical students organized in the editor's department. Every year, around 300 international undergraduate medical students take the course.

Medical image technologies play a significant role in visualization and interpretation methods in medical diagnosis and practice using decision making, pattern classification, diagnosis, and learning. Progressions in the field of medical imaging lead to interdisciplinary discovery in microscopic image processing and computer-assisted diagnosis systems, and aids physicians in the diagnosis and early detection of diseases. Histopathological Image Analysis in Medical Decision Making provides emerging research exploring the theoretical and practical applications of image technologies and feature extraction procedures within the medical field. Featuring coverage on a broad range of topics such as image classification, digital image analysis, and prediction methods, this book is ideally designed for medical professionals, system engineers, medical students, researchers, and medical practitioners seeking current research on problem-oriented processing techniques in imaging technologies.

This volume presents several machine intelligence technologies, developed over recent decades, and illustrates how they can be combined in application. One application, the detection of dementia from patterns in speech, is used throughout to illustrate these combinations. This application is a classic stationary pattern detection task, so readers may easily see how these combinations can be applied to other similar tasks. The expositions of the methods are supported by the basic theory they rest upon, and their application is clearly illustrated. The book's goal is to allow readers to select one or more of these methods to quickly apply to their own tasks. Includes a variety of machine intelligent technologies and illustrates how they can work together Shows evolutionary feature subset selection combined with support vector machines and multiple classifiers combined Includes a running case study on intelligent processing relating to Alzheimer's / dementia detection, in addition to several applications of the machine hybrid algorithms

This book is a full colour, highly clinical multi-media atlas focusing on the role diagnostic and therapeutic endoscopy plays in the management of patients with cancer. Conveniently split into sections for each part of the GI tract, each section will follow a consistent structure. With 400 high-quality images and in addition, 21 high-definition videos showing endoscopy from the experts, this book is the perfect consultation and learning tool for all gastroenterologists, endoscopists, GI surgeons and oncologists.

The second edition of the Pocket Guide is designed to work as a clinical handbook and up-to-date reference for nurses when interviewing patients of all age groups and cultural backgrounds, taking health histories, promoting health, and performing physical assessments. The content derives from and has been developed in conjunction with Jensen's Nursing Health Assessment: A Best Practice Approach and serves to both review the core content provided in the textbook as well as help students apply their foundational learning through reinforcement and streamlined presentation. The content focuses on key questions in the area of health promotion, reviewing important risk factors and outlining essential teaching points for risk assessment and intervention. It includes essential questions to review common and concerning signs and symptoms for each health assessment topic. The chapters review the key techniques of examination, outlining normal and unexpected findings. Finally, tables of findings provide a quick reference by which students can compare and contrast results to assist with eventual nursing and medical diagnoses.

In recent years, advanced molecular techniques in diagnostic microbiology have been revolutionizing the practice of clinical microbiology in the hospital setting. Molecular diagnostic testing in general and nucleic acid-based amplification methods in particular have been heralded as diagnostic tools for the new millennium. This third edition covers not only the most recent updates and advances, but details newly invented omic techniques, such as next generation sequencing. It is divided into two distinct volumes, with Volume 1 describing the techniques, and Volume 2 addressing their applications in the field. In addition, both volumes focus more so on the clinical relevance of the test results generated by these techniques than previous editions.

A highly illustrated book providing concise yet comprehensive information on fracture classification and management. The text has been developed according to the requirements of orthopaedic surgeons in training. The first section covers general principles such as terminology and dealing with multiple trauma; following sections take the reader systematically through regions of the body and the various possible fractures, covering diagnosis, treatment and healing in each case. Definitive information on the ever-disputed issue of classification of musculoskeletal injuries is provided throughout. An effective reference book for the clinic, this book is also an indispensable tool for trainees in orthopaedic and emergency medicine and orthopaedic nurses.