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| Author | : Chen Liu |
| Publisher | : Frontiers Media SA |
| Total Pages | : 150 |
| Release | : 2022-07-05 |
| Genre | : Medical |
| ISBN | : 2889765121 |
| Author | : Kishor Kumar Sadasivuni |
| Publisher | : John Wiley & Sons |
| Total Pages | : 356 |
| Release | : 2022-04-04 |
| Genre | : Medical |
| ISBN | : 1119813018 |
PREDICTING HEART FAILURE Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods focuses on the mechanics and symptoms of heart failure and various approaches, including conventional and modern techniques to diagnose it. This book also provides a comprehensive but concise guide to all modern cardiological practice, emphasizing practical clinical management in many different contexts. Predicting Heart Failure supplies readers with trustworthy insights into all aspects of heart failure, including essential background information on clinical practice guidelines, in-depth, peer-reviewed articles, and broad coverage of this fast-moving field. Readers will also find: Discussion of the main characteristics of cardiovascular biosensors, along with their open issues for development and application Summary of the difficulties of wireless sensor communication and power transfer, and the utility of artificial intelligence in cardiology Coverage of data mining classification techniques, applied machine learning and advanced methods for estimating HF severity and diagnosing and predicting heart failure Discussion of the risks and issues associated with the remote monitoring system Assessment of the potential applications and future of implantable and wearable devices in heart failure prediction and detection Artificial intelligence in mobile monitoring technologies to provide clinicians with improved treatment options, ultimately easing access to healthcare by all patient populations. Providing the latest research data for the diagnosis and treatment of heart failure, Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods is an excellent resource for nurses, nurse practitioners, physician assistants, medical students, and general practitioners to gain a better understanding of bedside cardiology.
| Author | : Alexandre Mebazaa |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 922 |
| Release | : 2009-12-24 |
| Genre | : Medical |
| ISBN | : 1846287820 |
For many years, there has been a great deal of work done on chronic congestive heart failure while acute heart failure has been considered a difficult to handle and hopeless syndrome. However, in recent years acute heart failure has become a growing area of study and this is the first book to cover extensively the diagnosis and management of this complex condition. The book reflects the considerable amounts of new data reported and many new concepts which have been proposed in the last 3-4 years looking at the epidemiology, diagnostic and treatment of acute heart failure.
| Author | : Vinicius Tragante |
| Publisher | : Frontiers Media SA |
| Total Pages | : 139 |
| Release | : 2022-06-03 |
| Genre | : Medical |
| ISBN | : 2889763226 |
| Author | : Jeffrey Shi Kai Chan |
| Publisher | : Frontiers Media SA |
| Total Pages | : 155 |
| Release | : 2023-02-07 |
| Genre | : Medical |
| ISBN | : 283251376X |
| Author | : K. Aravinthan |
| Publisher | : Ary Publisher |
| Total Pages | : 0 |
| Release | : 2023-03-25 |
| Genre | : |
| ISBN | : 9783895366000 |
Heart disease is a leading cause of death worldwide, and early prediction is crucial for effective prevention and management. A novel cluster and rank-based method for prediction of heart disease involves using machine learning algorithms to cluster patients based on similar risk factors and rank them based on their likelihood of developing cardiovascular disease. This method utilizes feature selection techniques to identify the most important risk factors and uses a classification model to predict the risk of heart disease based on these factors. The accuracy of the model is evaluated using metrics such as sensitivity, specificity, and AUC. This approach has several advantages, including improved accuracy in predicting heart disease risk, the ability to identify subgroups of patients with similar risk profiles, and the potential to integrate data from electronic health records and other sources.
| Author | : G. Purusothaman |
| Publisher | : Ary Publisher |
| Total Pages | : 0 |
| Release | : 2023-03-25 |
| Genre | : |
| ISBN | : 9782822194372 |
A reliable and accurate heart disease prediction system uses machine learning algorithms to predict the likelihood of heart disease based on a set of risk factors. This system utilizes decision tree, Naive Bayes, random forest, and support vector machine algorithms to analyze patient data and identify patterns that are indicative of cardiovascular disease. Feature selection techniques are used to identify the most important risk factors, which may include age, gender, family history, blood pressure, cholesterol levels, smoking, and diabetes. The accuracy of the model is evaluated using metrics such as sensitivity, specificity, and AUC. This system has several advantages, including improved accuracy in predicting heart disease risk, the ability to identify patients at high risk for cardiovascular disease, and the potential to integrate data from electronic health records and other sources. This approach has the potential to improve medical decision-making, provide more personalized care for patients, and reduce the burden of heart disease on individuals and society.
| Author | : Bertram Pitt |
| Publisher | : Bailliere Tindall Limited |
| Total Pages | : 408 |
| Release | : 1997 |
| Genre | : Medical |
| ISBN | : |
This text, aimed at the clinical cardiologist, covers the planning of and partcipation in a clinical trial. It interprets the importance of past clinical trials in current clinical practice.
| Author | : John E. Wennberg |
| Publisher | : Oxford University Press |
| Total Pages | : 341 |
| Release | : 2010-08-26 |
| Genre | : Medical |
| ISBN | : 0199830851 |
Written by a groundbreaking figure of modern medical study, Tracking Medicine is an eye-opening introduction to the science of health care delivery, as well as a powerful argument for its relevance in shaping the future of our country. An indispensable resource for those involved in public health and health policy, this book uses Dr. Wennberg's pioneering research to provide a framework for understanding the health care crisis; and outlines a roadmap for real change in the future. It is also a useful tool for anyone interested in understanding and forming their own opinion on the current debate.
| Author | : Todd C Eldredge |
| Publisher | : |
| Total Pages | : 222 |
| Release | : 2021-05-28 |
| Genre | : |
| ISBN | : 9781638480136 |
According to the World Health Organization (WHO), Heart Attacks and Strokes are the leading causes of death worldwide. Collectively they account for over 15 Million deaths each year, (more than the next three leading causes of death combined). Most of these events are completely preventable. Much of this is due to a system which encourages and rewards treatments and procedures over prevention and outcomes. The US standard of care compels physicians to identify and treat risk factors for disease rather than the diseases themselves. Consequently, Heart Attacks and Strokes account for nearly one third of the annual deaths in the US. Nine million times each year, patients are submitted to excessive radiation and invasive procedures to "measure" their risk for Heart Attack and/or Stroke. According to recent literature, most of these invasive procedures are neither justified nor effective. There are a few tests which can accurately predict those who will, and who will not go on to have a Heart Attack or Stroke. One such test, catches >98% of these events BEFORE they occur. Most of the time, these tests have not yet been recommended to patients by their primary care physician. This book addresses these concerns and the #1 GAP in the US healthcare system today: under-diagnosis of heart disease. This book tells you which tests could help you to prevent a Heart Attack or Stroke, in time to treat it medically and not surgically.
