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

e-Cardiology and Telemonitoring in Cardiology (172) Clinical Informatics (1050) Clinical Information and Decision Making (1434) Artificial Intelligence (1421) Machine Learning (1501) Artificial Intelligence in Surgery and Perioperative Medicine (27) Perioperative Pediatric Care (27)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45190, first published .
Continuous Data-Driven Monitoring in Critical Congenital Heart Disease: Clinical Deterioration Model Development

Continuous Data-Driven Monitoring in Critical Congenital Heart Disease: Clinical Deterioration Model Development

Continuous Data-Driven Monitoring in Critical Congenital Heart Disease: Clinical Deterioration Model Development

Authors of this article:

Ruben S Zoodsma1 Author Orcid Image ;   Rian Bosch1 Author Orcid Image ;   Thomas Alderliesten1 Author Orcid Image ;   Casper W Bollen1 Author Orcid Image ;   Teus H Kappen2 Author Orcid Image ;   Erik Koomen1 Author Orcid Image ;   Arno Siebes3 Author Orcid Image ;   Joppe Nijman1 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Nijman J, Zoodsma R, Koomen E. A Strategy for Artificial Intelligence With Clinical Impact—Eyes on the Prize. JAMA Pediatrics 2024;178(3):219 View
  2. Khorev V, Kiselev A, Badarin A, Antipov V, Drapkina O, Kurkin S, Hramov A. Review on the use of AI-based methods and tools for treating mental conditions and mental rehabilitation. The European Physical Journal Special Topics 2024 View
  3. Zou Z, Tang H, Xiao E, Zhou Y, Yin X, Hu Z, Cai Y, Han Q, Wang L. Ensuring Clinical Excellence: The Mindray SAL9000 Biochemical Immunoassay System. Cell Biochemistry and Biophysics 2024 View