This reference demonstrates the development of a context aware decision-making health informatics system with the objective to automate the analysis of human centric wellness and assist medical decision-making in healthcare.

The book introduces readers to the basics of a clinical decision support system. This is followed by chapters that explain how to analyze healthcare data for anomaly detection and clinical correlations. The next two sections cover machine learning techniques for object detection and a case study for hemorrhage detection. These sections aim to expand the understanding of simple and advanced neural networks in health informatics. The authors also explore how machine learning model choices based on context can assist medical professionals in different scenarios.

Key Features :

-Reader-friendly format with clear headings introductions and summaries in each chapter

-Detailed references for readers who want to conduct further research

-Expert contributors providing authoritative knowledge on machine learning techniques and human-centric wellness

-Practical applications of data science in healthcare designed to solve problems and enhance patient wellbeing

-Deep learning use cases for different medical conditions including hemorrhages gallbladder stones and diabetic retinopathy

Demonstrations of fast and efficient CNN models with varying parameters such as Single shot detector R-CNN Mask R-CNN modified contrast enhancement and improved LSTM models.

This reference is intended as a primary resource for professionals researchers software developers and technicians working in healthcare informatics systems and medical diagnostics. It also serves as a supplementary resource for learners in bioinformatics biomedical engineering and medical informatics programs and anyone who requires technical knowledge about algorithms in medical decision support systems.

This book is a comprehensive review of technologies and data in healthcare services. It features a compilation of 10 chapters that inform readers about the recent research and developments in this field. Each chapter focuses on a specific aspect of healthcare services highlighting the potential impact of technology on enhancing practices and outcomes.

The main features of the book include 1) referenced contributions from healthcare and data analytics experts 2) a broad range of topics that cover healthcare services and 3) demonstration of deep learning techniques for specific diseases.

Key topics:

- Federated learning in analysis of sensitive healthcare data while preserving privacy and security.

- Artificial intelligence for 3-D bone image reconstruction.

- Detection of disease severity and creating personalized treatment plans using machine learning and software tools

- Case studies for disease detection methods for different disease and conditions including dementia asthma eye diseases

- Brain-computer interfaces

- Data mining for standardized electronic health records

- Data collection management and analysis in epidemiological research

The book is a resource for learners and professionals in healthcare service training programs and health administration departments.

Watching TV surfing the Internet and sitting for long hours have replaced more active pursuits. Millions of Americans are simply not moving enough to meet the minimum threshold for good health and longevity. Exercise physiologists have researched and highlighted this fact for decades. That is why they emphasize the importance of regular exercise in the prevention of chronic diseases associated with physical inactivity and a sedentary lifestyle. Heart disease obesity type 2 diabetes high blood pressure stroke peripheral arterial disease depression several types of cancers and osteoporosis can be treated or even prevented with properly prescribed exercise. There is a need for integrating exercise physiology knowledge and rehabilitation programs as a continuous part of the healthcare profession. This opens up the opportunity for new approaches to manage patients suffering from chronic diseases and disabilities. ASEP’s Exercise Medicine Text for Exercise Physiologists is designed to educate exercise physiologists about the significance of professionalism in exercise physiology exercise medicine and entrepreneurship opportunities. It combines scientific principles with cardiovascular calculation steps that support its use in the development of safe well-rounded and individualized exercise programs to help clients and patients sleep better reduce stress maintain a healthy body weight keep bones strong and joints healthy decrease the risk for colon cancer and improve mental function. This textbook demonstrates the importance of exercise medicine and will familiarize readers with ASEP guidelines. Exercise physiologists in training will therefore be prepared for contributing a meaningful role in the healthcare services sector.

Behavior problems are approaching epidemic levels in many schools and mental health issues in school-aged children is an international concern. Similarly parents caregivers and other concerned adults report behavioral disturbances in homes and in other settings despite the ongoing effort to ease access to mental health services.

Student mental health has also been demonstrated to have a direct impact on student behavior and performance. This book discusses methods by which educators can promote student mental health similar to the ways in which schools already promote physical health.

Promoting student mental health may mean doing things differently than are currently being done but does not involve doing more than what is already is being done. Professional educators counselors and readers interested in public mental health matters will greatly benefit from this book.

This eBook series addresses topics on mental health counseling and education in schools. The series is essential reading for educational professionals (counselors teachers administrators) and psychologists who work with children in a school setting.