Nature Communications (Jan 2021)

Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare

  • Kim Huat Goh,
  • Le Wang,
  • Adrian Yong Kwang Yeow,
  • Hermione Poh,
  • Ke Li,
  • Joannas Jie Lin Yeow,
  • Gamaliel Yu Heng Tan

DOI
https://doi.org/10.1038/s41467-021-20910-4
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 10

Abstract

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Early prediction and diagnosis of sepsis, which is critical in reducing mortality, is challenging as many of its signs and symptoms are similar to other less critical conditions. Here, the authors develop an artificial intelligence algorithm which uses both structured data and unstructured clinical notes to predict sepsis.