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

Decision Support for Health Professionals (1186) Clinical Information and Decision Making (1407) Intensive Care Unit (ICU) (112)

Published on in Vol 8, No 3 (2020): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14272, first published .
Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury

Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury

Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury

Authors of this article:

Mohammad Amin Morid1 Author Orcid Image ;   Olivia R Liu Sheng2 Author Orcid Image ;   Guilherme Del Fiol3 Author Orcid Image ;   Julio C Facelli3, 4 Author Orcid Image ;   Bruce E Bray3, 5 Author Orcid Image ;   Samir Abdelrahman3, 6 Author Orcid Image
Article Authors Cited by (15) Tweetations (2) Metrics

Journals

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  8. Kamel Rahimi A, Ghadimi M, van der Vegt A, Canfell O, Pole J, Sullivan C, Shrapnel S. Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy. BMC Medical Informatics and Decision Making 2023;23(1) View
  9. Chen J, Lowin M, Kellner D, Hinz O, Adam E, Ippolito A, Wenger-Alakmeh K. Designing Expert-Augmented Clinical Decision Support Systems to Predict Mortality Risk in ICUs. KI - Künstliche Intelligenz 2023;37(2-4):227 View
  10. Ribeiro C, Freitas A. A lexicographic optimisation approach to promote more recent features on longitudinal decision-tree-based classifiers: applications to the English Longitudinal Study of Ageing. Artificial Intelligence Review 2024;57(4) View
  11. Xie H, Wang B, Hong Y. A deep learning approach for acute liver failure prediction with combined fully connected and convolutional neural networks. Technology and Health Care 2024;32:555 View
  12. Wu C, Poly T, Weng Y, Lin M, Islam M. Machine Learning Models for Predicting Mortality in Critically Ill Patients with Sepsis-Associated Acute Kidney Injury: A Systematic Review. Diagnostics 2024;14(15):1594 View

Books/Policy Documents

  1. Uchino E, Sato N, Okuno Y. Artificial Intelligence in Medicine. View
  2. Uchino E, Sato N, Okuno Y. Artificial Intelligence in Medicine. View