Big Data for Nutrition Research in Pediatric Oncology: Current State and Framework for Advancement. Issue 54 (11th September 2019)

• Record Type: Journal Article
• Authors: Phillips, Charles A; Pollock, Brad H
• Is Part Of: Journal of the National Cancer Institute. Issue 54(2019)
• Page Start: 127
• Page End: 131
• Publication Date: 2019-09-11
• Subjects: Cancer -- Periodicals; Cancer -- Congresses; 616.994
• DOI: 10.1093/jncimonographs/lgz019
• Languages: English
• ISSNs: 1052-6773

Abstract

Abstract: Recognition and treatment of malnutrition in pediatric oncology patients is crucial because it is associated with increased morbidity and mortality. Nutrition-relevant data collected from cancer clinical trials and nutrition-specific studies are insufficient to drive high-impact nutrition research without augmentation from additional data sources. To date, clinical big data resources are underused for nutrition research in pediatric oncology. Health-care big data can be broadly subclassified into three clinical data categories: administrative, electronic health record (including clinical data research networks and learning health systems), and mobile health. Along with -omics data, each has unique applications and limitations. We summarize the potential use of clinical big data to drive pediatric oncology nutrition research and identify key scientific gaps. A framework for advancement of big data utilization for pediatric oncology nutrition research is presented and focuses on transdisciplinary teams, data interoperability, validated cohort curation, data repurposing, and mobile health applications.