ORIGINAL RESEARCH
Accepted on 14 Feb 2025
Predicting nosocomial pneumonia of patients with acute brain injury in intensive care unit using machine-learning models
doi 10.3389/fmed.2025.1501025
- Frontiers in Medicine
- Intensive Care Medicine and Anesthesiology
- Research Topics
- Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume V
Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume V
4,335
Total downloads
15k
Total views and downloads
Articles
ORIGINAL RESEARCH
Published on 07 Jan 2025
Transformer-based model for predicting length of stay in intensive care unit in sepsis patients
doi 10.3389/fmed.2024.1473533
- 463 views
REVIEW
Published on 07 Jan 2025
Advances in the clinical application of machine learning in acute pancreatitis: a review
doi 10.3389/fmed.2024.1487271
- 340 views
ORIGINAL RESEARCH
Published on 06 Jan 2025
Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients
doi 10.3389/fmed.2024.1496869
- 768 views
ORIGINAL RESEARCH
Published on 06 Jan 2025
Predicting the risk of gastroparesis in critically ill patients after CME using an interpretable machine learning algorithm – a 10-year multicenter retrospective study
doi 10.3389/fmed.2024.1467565
- 328 views
ORIGINAL RESEARCH
Published on 01 Nov 2024
RIG012 assists in the treatment of pneumonia by inhibiting the RIG-I-like receptor signaling pathway
doi 10.3389/fmed.2024.1501761
- 589 views
SYSTEMATIC REVIEW
Published on 16 Oct 2024
Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis
doi 10.3389/fmed.2024.1491358
- 2,798 views
- 2 citations
ORIGINAL RESEARCH
Published on 03 Oct 2024
Survival prediction for heart failure complicated by sepsis: based on machine learning methods
doi 10.3389/fmed.2024.1410702
- 1,567 views
- 1 citation
ORIGINAL RESEARCH
Published on 03 Oct 2024
Development and validation of a web-based nomogram for acute kidney injury in acute non-variceal upper gastrointestinal bleeding patients
doi 10.3389/fmed.2024.1474311
- 444 views
ORIGINAL RESEARCH
Published on 20 Sep 2024
The application of metagenomics, radiomics and machine learning for diagnosis of sepsis
doi 10.3389/fmed.2024.1400166
- 528 views
ORIGINAL RESEARCH
Published on 09 Jul 2024
Development and validation of a nomogram to predict mortality of patients with DIC in ICU
doi 10.3389/fmed.2024.1425799
- 1,048 views
- 1 citation
ORIGINAL RESEARCH
Published on 12 Jun 2024
Interpretability-based machine learning for predicting the risk of death from pulmonary inflammation in Chinese intensive care unit patients
doi 10.3389/fmed.2024.1399527
- 794 views
