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

Charles A. Phillips, Brad H. Pollock

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)127-131
Number of pages5
JournalJournal of the National Cancer Institute - Monographs
Issue number54
StatePublished - Sep 1 2019
Externally publishedYes

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


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