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.
Summary:
"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.
Series:
Emerging trends in computer science & applied computing
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.