{"id":852,"date":"2021-05-03T13:50:34","date_gmt":"2021-05-03T13:50:34","guid":{"rendered":"https:\/\/sites.rutgers.edu\/idsla\/?page_id=852"},"modified":"2021-05-07T15:42:25","modified_gmt":"2021-05-07T15:42:25","slug":"special-issue-on-is-cs","status":"publish","type":"page","link":"https:\/\/sites.rutgers.edu\/idsla\/spe-in-healthcare\/special-issue-on-is-cs\/","title":{"rendered":"Special Issue on Intelligent Systems in Health: Challenges and Opportunities"},"content":{"rendered":"
<\/h5>\n
Back to the Workshop’s Home page<\/a><\/h5>\n

<\/h3>\n

 <\/p>\n

 <\/p>\n

IEEE Intelligent Systems<\/b><\/h3>\n

Special Issue on Intelligent Systems in Health: Challenges and Opportunities<\/i><\/b><\/h4>\n

<\/h4>\n

Call for Papers<\/b><\/h4>\n

 <\/p>\n

Healthcare is a societal need, and a huge part of our lives, both personal and professional. Today, health spending accounts for 17.7% of the Gross Domestic Product (GDP) of the USA. Indeed, the gross output of the U.S. health care and social assistance industry has increased from $870 billion in 1998 to over $2.5 trillion in 2018. Furthermore, there are new challenges such as new and evolving diseases (e.g., antibiotic resistant bacteria), evolving situations (e.g., COVID-19 pandemic), evolving behavior (e.g., anti-vaxxer movement, sedentary lifestyle, opioid crises) that require constant innovation in therapeutic treatments, drug discovery, and other aspects.<\/span><\/p>\n

There is immense potential for transformative changes in the health and biomedical research community through the adoption of new technologies such as IoT devices, cyber-physical systems, mobile and Edge\/Cloud computing, Social Networks, and Artificial Intelligence \/ Machine Learning. Together, the use of these technologies and platforms can help us to realize the dream of personalized health and preventive services. However, the burgeoning data-intensive, hyper-connected system of interacting technologies that store, manage, exchange, combine, and utilize sensitive data can be vulnerable to malicious use. Altogether, the use of intelligent computing technologies and systems, while transformational, brings a plethora of security, privacy, trust, and ethical challenges that are unique to health and biomedical research.<\/span><\/p>\n

This special issue aims to develop a comprehensive vision and gather recent advances in ensuring security, privacy, and ethics in intelligent systems and their applications to health and biomedical research. The special issue will feature novel research on several areas of intelligent systems and data frameworks including wearables and connected devices, big data analytics and AI\/ML technologies in health and biomedical informatics, and the use of real-time multi-modal data for health applications. Besides these, the special issue will focus on research work with compelling results from real-world case studies and successes\/failures in emerging applications to health and biomedical research.\u00a0<\/span><\/p>\n

 <\/p>\n

The contributions should address, but are not limited to, the following research issues\/topics, with a specific focus on application in health and biomedical informatics:<\/span><\/p>\n