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

Machine Learning (1971) Big Data (305) Advanced Data Analytics in eHealth (196) Pediatric ICU (PICU) (18) Intensive Care Unit (ICU) (154) Clinical Information and Decision Making (1807) Decision Support for Health Professionals (1468)

Published on in Vol 9, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24079, first published .
An Artificial Neural Network–Based Pediatric Mortality Risk Score: Development and Performance Evaluation Using Data From a Large North American Registry

An Artificial Neural Network–Based Pediatric Mortality Risk Score: Development and Performance Evaluation Using Data From a Large North American Registry

An Artificial Neural Network–Based Pediatric Mortality Risk Score: Development and Performance Evaluation Using Data From a Large North American Registry

Authors of this article:

Niema Ghanad Poor1, 2 Author Orcid Image ;   Nicholas C West3 Author Orcid Image ;   Rama Syamala Sreepada1, 3 Author Orcid Image ;   Srinivas Murthy1, 4 Author Orcid Image ;   Matthias Görges1, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

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  1. Kaur J, Khehra B, Singh A. Back propagation artificial neural network for diagnose of the heart disease. Journal of Reliable Intelligent Environments 2023;9(1):57 View
  2. Pham H, Do T, Baek J, Nguyen C, Pham Q, Nguyen H, Goldberg R, Pham Q, Giang L. Handling Missing Data in COVID-19 Incidence Estimation: Secondary Data Analysis. JMIR Public Health and Surveillance 2024;10:e53719 View
  3. Lv H, Sun F, Yuan T, Shen H, Baheti L, Chen Y. Development and validation of a machine learning model for in-hospital mortality prediction in children under 5 years with heart failure. Frontiers in Pediatrics 2025;13 View