This paper is in the following e-collection/theme issue:

Machine Learning (1501) Artificial Intelligence (1421) Clinical Information and Decision Making (1434) Pediatrics (205)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21222, first published .
Predictive Models for Neonatal Follow-Up Serum Bilirubin: Model Development and Validation

Predictive Models for Neonatal Follow-Up Serum Bilirubin: Model Development and Validation

Predictive Models for Neonatal Follow-Up Serum Bilirubin: Model Development and Validation

Authors of this article:

Joseph H Chou1 Author Orcid Image
Article Authors Cited by (5) Tweetations (11) Metrics

Journals

  1. Kuzniewicz M, Newman T. Updated Bhutani bilirubin curves include 12-hour-age levels and demonstrate gestational age and racial differences. The Journal of Pediatrics 2022;240:310 View
  2. Zhou F, Huang M, Zhang G. Coagulation profile of neonates with hyperbilirubinaemia in full-term newborns. Journal of International Medical Research 2023;51(11) View
  3. Sarathy L, Chou J, Romano-Clarke G, Darci K, Lerou P. Bilirubin Measurement and Phototherapy Use After the AAP 2022 Newborn Hyperbilirubinemia Guideline. Pediatrics 2024;153(4) View
  4. Althnian A, Almanea N, Aloboud N. Neonatal Jaundice Diagnosis Using a Smartphone Camera Based on Eye, Skin, and Fused Features with Transfer Learning. Sensors 2021;21(21):7038 View
  5. Crivellaro F, Costa A, Vieira P. Signal Quality in Continuous Transcutaneous Bilirubinometry. Sensors 2024;24(18):6154 View