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Development and validation of high definition phenotype-based mortality prediction in critical care units.

Yao SunRavneet KaurShubham GuptaRahul PaulRitu DasSu Jin ChoSaket AnandJustin J BoutilierSuchi SariaJonathan PalmaSatish SalujaRyan M McAdamsAvneet KaurGautam YadavHarpreet Singh
Published in: JAMIA open (2021)
The HDP data structure supports multiple analytic techniques, including the statistical LRM approach and the machine learning LSTM approach used in this study. LRM and LSTM predictive models of neonatal mortality utilizing the HDP performed better than existing neonatal illness severity scores. Further research is necessary to create HDP-based clinical decision tools to detect the early onset of neonatal morbidities.
Keyphrases
  • early onset
  • machine learning
  • late onset
  • cardiovascular events
  • big data
  • risk factors
  • neural network
  • electronic health record
  • artificial intelligence
  • coronary artery disease
  • deep learning