Pena M Short Stay Management of Chest Pain 2ed 2022 | 8.82 MB
N/A | 255 Pages

Title: Short Stay Management of Chest Pain
Author: N/A
Year: N/A

Clinico Radiological Series: Imaging of Chest Infections
English | 2019 | ISBN: 9352705025 | 500 Pages | PDF (True) | 73 MB
This book describes the role of imaging in diagnosis as well as image guided interventions at chest infections with reference to latest guidelines. In clinical practice, chest infections are amongst the commonest cause of significant morbidity and at times, mortality. The varied spectrum of such infections range from general population being affected by community acquired pneumonia, to immunocompromised individuals secondary to HIV, solid organ or hematopoietic transplantations being affected by uncommon, opportunistic organisms. This book consists of 6 sections that include general, imaging according to causative organism, imaging according to clinical scenarios, complications of pneumonia, pattern-wise approach to thoracic infections, and reporting formats, which are further divided into 29 chapters. The book tries to cover salient imaging differences between infections and their common non-infectious mimics. The variety of illustrative cases and proposed structured reporting formats for various scenarios are also provided at the end of the book. This book is aimed at practicing radiologists, physicians and pulmonologists managing the patients with chest infections.

Chest Pain: Advanced Assessment and Management Skills By
2007 | 272 Pages | ISBN: 140514422X | PDF | 6 MB
Chest Pain: Advanced Assessment and Management promotes a systematic approach to the assessment and management of patients presenting with chest pain and related undifferentiated symptoms. Specifically, it equips practitioners with the knowledge and clinical skills needed to effectively differentiate and respond to clinical presentations where the primary symptom for seeking healthcare advice involves chest pain. Introductory chapters in section one explore the principles of physical assessment, history taking and differential diagnosis to provide the framework for subsequent chapters, which explore cardiac and non-cardiac causes of chest pain. Section two examines the advanced assessment and overall management of patients with pain in the chest. A range of clinical conditions that trigger chest pain and other related symptoms are covered, including: angina, acute coronary syndromes, pericarditis and myocarditis, aortic dissection, pulmonary embolism, oesophago-gastric disorders, musculoskeletal causes, pulmonary and respiratory causes, coronary heart disease, myocardial infarction, chest pain caused by trauma or cardiac syndrome X, cocaine misuse and Herpes zoster.Content: Chapter 1 Background to the Assessment and Management of Patients with Chest Pain ? Using this Book (pages 1-9): John W. Albarran and Jenny TagneyChapter 2 Coronary Heart Disease, Healthcare Policy and Evolution of Chest Pain Assessment and Management in the UK (pages 10-22): Tom QuinnChapter 3 History Taking (pages 23-32): Jenny TagneyChapter 4 Clinical Examination Skills for Assessing the Patient with Chest Pain (pages 33-53): Jackie YounkerChapter 5 Assessment and Differential Diagnoses in the Patient with Chest Pain (pages 54-67): Jonathan R. BengerChapter 6 Assessing and Managing the Patient with Chest Pain Due to an Acute Coronary Syndrome (pages 71-94): Sarah Green and Jenny TagneyChapter 7 Analysing the Presentation of Women with Chest Pain and Other Symptoms Associated with Coronary Heart Disease and Myocardial Infarction (pages 95-113): John W. AlbarranChapter 8 Assessing and Managing the Patient with Chest Pain Due to either Acute Pericarditis or Myocarditis (pages 114-129): John W. AlbarranChapter 9 Assessing and Managing the Patient with Chest Pain Due to an Aortic Dissection (pages 130-142): Helen CoxChapter 10 Assessing and Managing the Patient with Chest Pain Due to Pulmonary Embolism (pages 143-160): Jan KeenanChapter 11 Assessing and Managing the Patient with Chest Pain Due to Trauma (pages 161-184): Simon Binks and Jonathan R. BengerChapter 12 Assessing and Managing the Patient with Chest Pain Due to Oesophago?Gastric Disorders (pages 185-201): Theresa M.D. Finlay and Jan KeenanChapter 13 Assessing and Managing the Patient with Musculoskeletal Chest Pain (pages 202-214): Rebecca HoskinsChapter 14 Assessing and Managing the Patient with Pulmonary Chest Pain (pages 215-233): Jenny Tagney and Sarah GreenChapter 15 Assessing and Managing the Patient with Chest Pain Due to Cardiac Syndrome X, Cocaine Misuse and Herpes Zoster (pages 234-255): John W. Albarran and Helen Cox

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 538 MB | Duration: 1h 3m
Everything you need to know as a Medical Student

Diagnostic Imaging - Chest Ed 2
pdf | 40.88 MB | English | Isbn:‎ 978-0323074445 | Author: HP | Year: 2011

English | 2021 | ISBN: 0323901840 | 230 pages | pdf, epub | 99.87 MB
Deep Learning for Chest Radiographsenumerates different strategies implemented by the authors for designing an efficient convolution neural network-based computer-aided classification (CAC) system for binary classification of chest radiographs into "Normal" and "Pneumonia." Pneumonia is an infectious disease mostly caused by a bacteria or a virus. The prime targets of this infectious disease are children below the age of 5 and adults above the age of 65, mostly due to their poor immunity and lower rates of recovery. Globally, pneumonia has prevalent footprints and kills more children as compared to any other immunity-based disease, causing up to 15% of child deaths per year, especially in developing countries. Out of all the available imaging modalities, such as computed tomography, radiography or X-ray, magnetic resonance imaging, ultrasound, and so on, chest radiographs are most widely used for differential diagnosis between Normal and Pneumonia. In the CAC system designs implemented in this book, a total of 200 chest radiograph images consisting of 100 Normal images and 100 Pneumonia images have been used. These chest radiographs are augmented using geometric transformations, such as rotation, translation, and flipping, to increase the size of the dataset for efficient training of the Convolutional Neural Networks (CNNs). A total of 12 experiments were conducted for the binary classification of chest radiographs into Normal and Pneumonia. It also includes in-depth implementation strategies of exhaustive experimentation carried out using transfer learning-based approaches with decision fusion, deep feature extraction, feature selection, feature dimensionality reduction, and machine learning-based classifiers for implementation of end-to-end CNN-based CAC system designs, lightweight CNN-based CAC system designs, and hybrid CAC system designs for chest radiographs.
This book is a valuable resource for academicians, researchers, clinicians, postgraduate and graduate students in medical imaging, CAC, computer-aided diagnosis, computer science and engineering, electrical and electronics engineering, biomedical engineering, bioinformatics, bioengineering, and professionals from the IT industry.

Cookbook From the Treasure Chest in Pirates of the Caribbean - Recipes That Will Make You Feel Like the Best Pirate Out There
pdf, epub, azw | 14.71 MB | English | Isbn:‎ B0974NHQJF | Author: Green, Betty | Year: 2021

Diagnostic Imaging of the Chest
by Dag Wormanns;
English | 2020 | ISBN: 3132415650 | 364 pages | True (PDF EPUB) | 168.17 MB