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Clinical Information and Decision Making (3746) Respiratory Medicine (217) Decision Support for Health Professionals (2260) Machine Learning (3217) Artificial Intelligence (4824) Nephrology/Renal Disorders (143)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51255, first published .
Doctors analyze AI lung scan, predicting AKI and CAP with machine learning.

A Machine Learning–Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study

A Machine Learning–Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study

Authors of this article:

Mengqing Ma1 Author Orcid Image ;   Caimei Chen2 Author Orcid Image ;   Dawei Chen1 Author Orcid Image ;   Hao Zhang1 Author Orcid Image ;   Xia Du3 Author Orcid Image ;   Qing Sun3 Author Orcid Image ;   Li Fan1 Author Orcid Image ;   Huiping Kong3 Author Orcid Image ;   Xueting Chen4 Author Orcid Image ;   Changchun Cao3 Author Orcid Image ;   Xin Wan1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Ji W, Wang G, Liu T, Li M, Wang N, Hu T, Shi Z. Prediction of Acute Kidney Injury in Critically ill Patients with Community-Acquired Pneumonia Using Machine Learning. Journal of Intensive Care Medicine 2025;40(12):1247 View
  2. Shickel B, Ozrazgat-Baslanti T, Bihorac A. Artificial intelligence at the bedside for the prevention, detection, and management of acute kidney injury. Current Opinion in Nephrology & Hypertension 2025;34(6):483 View
  3. Chen J, Hou D, Song Y. Development and multi-database validation of interpretable machine learning models for predicting In-Hospital mortality in pneumonia patients: A comprehensive analysis across four healthcare systems. Respiratory Research 2025;26(1) View
  4. Du X, Liu R, Guo D, Qiu Z, Zhen Z, Ma M, Cao C. Predictive Value of Nutritional Scores for Contrast-Induced Acute Kidney Injury in Patients with Type 2 Diabetes Mellitus. Angiology 2026 View
  5. Mata-Lima A, Serrano-Olmedo J, Paquete A. Leveraging ICT Tools to Improve Kidney Health: A Comprehensive Review of Innovations in Nephrology. Healthcare 2026;14(6):785 View
  6. Xiao H, Liang J, Li G, Yang Y, Li T, Chen X, Ao Q, Wu Y, Song Q. AI Models for Predicting Acute Kidney Injury (AKI) and Post-AKI Mortality: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2026;28:e104269 View