Applied computing in medicine and health / edited by Dhiya Al-Jumeily, Abir Hussain, Conor Mallucci, Carol Oliver.

Includes bibliographical references and index.

1. Early diagnosis of neurodegenerative diseases from gait discrimination to neural synchronization -- 2. Lifelogging technologies to detect negative emotions associated with cardiovascular disease -- 3. Gene selection methods for microarray data -- 4. Brain MRI intensity inhomogeneity correction using region of interest, anatomic structural map, and outlier detection -- 5. Leveraging big data analytics for personalized elderly care: opportunities and challenges -- 6. Prediction of intrapartum hypoxia from cardiotocography data using machine learning -- 7. Recurrent neural networks in medical data analysis and classifications -- 8. Assured decision and meta-governance for mobile medical support systems -- 9. Identifying preferences and developing an interactive data model and assessment for an intelligent mobile application to manage young patients diagnosed with hydrocephalus -- 10. Sociocultural and technological barriers across all phases of implementation for mobile health in developing countries -- 11. Application of real-valued negative selection algorithm to improve medical diagnosis -- 12. Development and applications of mobile farming information system for food traceability in health management -- 13. Telehealth in primary health care: analysis of Liverpool NHS experience -- 14. Swarm based-artificial neural system for human health data classification.

"Applied computing in medicine and health is intended as a comprehensive presentation of ongoing investigations and analysis of current challenges and advances related to applied computing by focusing on a particular class of applications, primarily artificial intelligence methods and techniques in health and medicine." -- Back cover.