Описание: Publisher's Note: Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product. Perform an accurate, efficient, and effective physical examination with confidence. Bates' Guide to Physical Examination and History Taking provides authoritative, step-by-step guidance on performing the patient interview and physical examination, applying clinical reasoning, shared decision-making, and other core assessment skills--all based on a firm understanding of clinical evidence.
This highly regarded text includes fully illustrated, step-by-step techniques that outline the correct performance of the physical examination and an easy-to-follow two-column format featuring examination techniques on the left and abnormalities (clearly indicated in red) with differential diagnoses on the right. Bates' also includes a unit on special populations, covering special stages in the life cycle--infancy through adolescence, pregnancy, and aging. Clinical pearls, printed in blue, highlight key points throughout the text.
Text boxes help readers quickly find important summaries of clinical conditions and tips for challenging examination techniques. Many new and updated photographs and illustrations support the text, and figures are now numbered for easy identification and reference. Rewritten chapter on evaluating clinical evidence clarifies key concepts to ensure student understanding.
Revised and expanded chapter on the skin, hair, and nails includes new dermatology photographs and provides the framework for assessing common lesions and abnormalities. Updated behavior and mental status chapter now references DSM-5. Significantly revised information on obesity and nutrition counseling; cardiovascular risk factor screening and new clinical guidelines; new screening guidelines for breast cancer, colon cancer, Papanicolau smears, and stroke risk factors; updated information on STIs; new geriatric assessment tools; and much more.
New life cycle content, including an increased emphasis on cardiovascular health promotion and child development; updated pregnancy topics such as weight gain, substance abuse, and intimate partner violence; and new information on the older adult, including frailty, immunizations, cancer screening, cognitive decline and dementia screening, and a new algorithm for falls prevention. Bates' Guide to Physical Examination and History Taking is the #1 choice for complete, authoritative guidance on mastering every aspect of the all-important physical examination. Don't Miss These Additional Resources also Available for Purchase: Bates' Pocket Guide to Physical Examination and History Taking, Eighth Edition The Pocket Guide is an abbreviated version of the Bates' twelfth edition textbook, designed for portability and convenience at the bedside.
Bates' Visual Guide to Physical Examination (www.batesvisualguide.com) Recently refilmed, these 18 volumes of examination videos (as well as 10 additional OSCEs) depict experienced clinicians conducting each of the regional examinations. The videos demonstrate visually the varying techniques of inspection, palpation, percussion, and auscultation in the regional examinations and special populations.
Автор: Lawrey Sarah Название: Cambridge IGCSE Computer Science Coursebook ISBN: 1107518695 ISBN-13(EAN): 9781107518698 Издательство: Cambridge Education Рейтинг: Цена: 6088 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cambridge IGCSE Computer Science Coursebook is designed to provide up to date and comprehensive material to cover recent developments in computer science. The content has been written by experienced IGCSE teachers and computer science trainers, offering readers support on the theoretical and practical aspects of the course. It contains detailed explanations of concepts, with examples and tasks to help students consolidate their skills.
Описание: 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.
Описание: Accurate imaging of cancerous tissue is a critical step in the fight to lower cancer mortality rates, and computer-aided detection and diagnosis (CAD) technologies play a key role. Over the last three decades, the field of diagnostic cancer imaging has witnessed a remarkable evolution that has affected virtually every aspect of research and clinical management of cancer. This book discusses recent high-quality research in key technologies used in CAD systems; the 11 chapters cover different types of cancers (including skin, breast, prostate, and colon cancer) and different scientific fields (such as biomedicine, imaging, image processing, pattern recognition, and system analysis) to further the major goals of current cancer imaging: • Provide more reliable disease characterization through the synthesis of anatomic, functional, and molecular imaging information; • Refine and optimize imaging capabilities in oncology; • Establish new imaging modalities and findings, and discover the potential use of these techniques; • Find more individualized assessment of tumor biology, personalized treatments, and response to treatment; • Develop image-processing-based cancer control systems; and • Explore imaging capabilities and strategies to streamline cancer drug development.
Автор: K. Kamalanand, B. Thayumanavan, P. Mannar Jawahar Название: Computational Techniques for Dental Image Analysis ISBN: 1522562435 ISBN-13(EAN): 9781522562436 Издательство: Eurospan Рейтинг: Цена: 44692 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries.Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.
Описание: <em>Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis</em> provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images. This book covers major technical advancements and research findings in the field of Computer-Aided Diagnosis (CAD). As it demonstrates the practical applications of CAD, this book is a useful reference for professors in engineering and medical schools, students in engineering and applied-science, medical students, medical engineers, researchers in industry, academia, and health science, radiologists, cardiologists, surgeons, and healthcare professionals.
Описание: Female Cosmetic Genital Surgery: Concepts, Classifications, and TechniquesThis book couldn't have been published at a better time. The demand for these procedures has dramatically increased over the past few years and there is a need for a variety of educational resources for plastic surgeons... [this book] is a valuable resource... -- Aesthetic Surgery Journal (starred review, 5 of 5)This is a great book on a subject that is sparsely covered in medical literature...it is also a one-of-a-kind work that is authoritative, well-planned and expertly written. -- BIZINDIAInterest in the field of female genital rejuvenation, once neglected by physicians, has received increasing prominence as a result of media coverage of the topic. Women worldwide have learned that there are options to enhance the appearance of their external genitalia, which may have altered over time from childbirth or the effects of aging. To increase their self-confidence and sense of attractiveness, women are more frequently requesting aesthetic vaginal surgery.The editors have created this timely, unique, comprehensive resource for the field of female aesthetic vulvovaginal surgery. The book offers the following for surgeons adding these increasingly popular procedures to their armamentarium:Applied anatomy and classification of variations in shape and morphologyStepwise guidance for performing a range of reduction and augmentation procedures, including fat grafting, as well as hymenoplasty, perineoplasty, and vaginoplastyDiscussion of culturally defined concepts of genital beautyExciting new advances, such as the O-Shot® and vaginal rejuvenation with fractional erbium laser and transcutaneous temperature-controlled radiofrequency techniquesMore than 350 color photographs and beautifully detailed surgical illustrationsMultiple fully narrated video clips showing details of surgeryBoth print and electronic formats for easy access everywhereTo meet the ever-increasing patient demand for these updated procedures, all surgeons desiring to enhance their knowledge of and skills in female cosmetic genital surgery will want this valuable resource on their shelf!
Описание: Magnetic resonance systems are used in almost every academic and industrial chemistry, physics and biochemistry department, as well as being one of the most important imaging modalities in clinical radiology. The design of such systems has become increasingly sophisticated over the years. Static magnetic fields increase continuously, large-scale arrays of receive elements are now ubiquitous in clinical MRI, cryogenic technology has become commonplace in high resolution NMR and is expanding rapidly in preclinical MRI, specialized high strength magnetic field gradients have been designed for studying the human connectome, and the commercial advent of ultra-high field human imaging has required new types of RF coils and static shim coils together with extensive electromagnetic simulations to ensure patient safety. This book covers the hardware and engineering that constitutes a magnetic resonance system, whether that be a high-resolution liquid or solid state system for NMR spectroscopy, a preclinical system for imaging animals or a clinical system used for human imaging. Written by a team of experts in the field, this book provides a comprehensive and instructional look at all aspects of current magnetic resonance technology, as well as outlooks for future developments.
Описание: The rapid uncontrolled growth of classification methods in DNA microarray studies has resulted in a body of information scattered throughout literature, numerous conference proceedings, and others. This book brings together many of the unsupervised and supervised classification methods now dispersed in the literature.
Описание: The present study aimed to do the performance analysis of several data mining classification techniques using three different machine learning tools over the healthcare datasets. In this study, different data mining classification techniques have been tested on four different healthcare datasets. The standards used are percentage of accuracy and error rate of every applied classification technique. The experiments are done using the 10 fold cross validation method. A suitable technique for a particular dataset is chosen based on highest classification accuracy and least error rate.
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