Big data for nutrition research in pediatric oncology: Current state and ramework for advancement

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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.

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Phillips, C. A., & Pollock, B. H. (2019). Big data for nutrition research in pediatric oncology: Current state and ramework for advancement. Journal of the National Cancer Institute - Monographs, 2019(54), 127–131. https://doi.org/10.1093/jncimonographs/lgz019

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