Big Data and AI for Personalized Health Care

Big data and artificial intelligence (AI) can benefit healthcare by improving patient outcomes, quality, efficiency, access to care, and engagement through a personalized health approach. With these tremendous benefits comes the challenges of mitigating bias, ensuring inclusivity to prevent health inequities, and incorporating social determinants of health data and other disparate streams of health data. Personalized health care is a holistic approach to engaging patients, caregivers, and the clinical team which focuses on proactive personalized care to improve overall health and minimize disease processes. The incorporation of big data and AI will alleviate an antiquated manual process, as it relates to personalized health care, and transform it into an automated approach that calibrates and adapts to individual patient and caregiver needs. This collaborative workshop aims to better connect the data science and healthcare communities with the current landscape of personalized big data and AI approaches for healthcare. In this workshop, we will increase the audience’s understanding of the importance of data science, healthcare domain knowledge, research collaboration, and the pioneering approaches to personalized health care. The motivation in organizing this workshop at the 2024 IEEE International Conference on Big Data is to attract novel interdisciplinary papers on the various approaches and challenges of utilizing big data and AI in current personalized health research.

Topics of interest to this workshop include (but are not limited to):

• Genomics
• Wearables
• Telehealth
• Personalized health
• Precision medicine

Paper Format and Submission

• Please submit a full-length paper (up to 10 page IEEE 2-column format) through the online submission system.
  
• Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see Formatting Instructions below).
  

Formatting Instructions

• 8.5" x 11" (Word Template)
• LaTex
• 8.5" x 11" (LaTex Formatting Instuctions)
• LaTex Formatting Macros
• LaTex Bibliography Files
• If working in Overleaf, the template is at https://www.overleaf.com/gallery/tagged/ieee-official. Use an IEEE Conference template.

Important Dates

Workshop Chairs

• Ryan Benton, Computer Science, University of South Alabama
• David Bourrie, Information Systems and Technology, University of South Alabama
• Scott Sittig, Health Sciences, University of Louisiana at Lafayette

Program Committee

• Amy Campbell, University of South Alabama
• Jose Florez-Arango, Weill Cornell Medicine
• Jingshan Huang, University of South Alabama
• Jennifer Lavergne, McNeese State University
• Michael Totaro, University of Louisiana at Lafayette