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The Prediction of Bronchopulmonary Dysplasia in Very Low Birth Weight Infants through Clinical Indicators within 1 Hour of Delivery.

So-Yeon ShimJi Yun YunSu Jin ChoMin-Ho KimEun Ae Park
Published in: Journal of Korean medical science (2021)
From this study, high predictability was obtained using clinical parameters obtained within one hour of life. P value for prediction of each grade of BPD and equation for calculation was presented. It can be helpful for the early prediction of BPD in Korean VLBWI. This study will contribute to the prediction of BPD in Asians especially Korean VLBWIs, not currently included in the NICHD BPD online BPD predictor. In addition, the predictive power may be continuously increased with the cumulative data of KNN.
Keyphrases
  • low birth weight
  • preterm infants
  • blood pressure
  • preterm birth
  • healthcare
  • human milk
  • electronic health record
  • machine learning
  • health information
  • deep learning