AIMC Topic: Intensive Care Units
Clear Filters Showing 581 to 590 of 694 articles
[Predicting Intensive Care Unit Mortality in Patients With Heart Failure Combined With Acute Kidney Injury Using an Interpretable Machine Learning Model: A Retrospective Cohort Study].
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
Jan 20, 2025
OBJECTIVE: Heart failure (HF) complicated by acute kidney injury (AKI) significantly impacts patient outcomes, and it is crucial to make early predictions of short-term mortality. This study is focused on developing an interpretable machine learning ...
Individualized multi-treatment response curves estimation using RBF-net with shared neurons.
Biometrics
Jan 7, 2025
Heterogeneous treatment effect estimation is an important problem in precision medicine. Specific interests lie in identifying the differential effect of different treatments based on some external covariates. We propose a novel non-parametric treatm...
Explainable Artificial Intelligence for Early Prediction of Pressure Injury Risk.
American journal of critical care : an official publication, American Association of Critical-Care Nurses
Sep 1, 2024
BACKGROUND: Hospital-acquired pressure injuries (HAPIs) have a major impact on patient outcomes in intensive care units (ICUs). Effective prevention relies on early and accurate risk assessment. Traditional risk-assessment tools, such as the Braden S...
Optimize individualized energy delivery for septic patients using predictive deep learning models.
Asia Pacific journal of clinical nutrition
Sep 1, 2024
BACKGROUND AND OBJECTIVES: We aim to establish deep learning models to optimize the individualized energy delivery for septic patients.
Optimizing ICU Care: Machine Learning and PCA for Early Prediction of Renal Replacement Therapy Requirement.
Studies in health technology and informatics
Aug 22, 2024
Forecasting the need for Renal Replacement Therapy (RRT) in intensive care units (ICUs) at an early stage can enhance patient outcomes and optimize resource allocation. The study aimed to develop a model for early prediction of Renal Replacement Ther...
A Comparative Analysis of Federated and Centralized Learning for SpO2 Prediction in Five Critical Care Databases.
Studies in health technology and informatics
Aug 22, 2024
This study explores the potential of federated learning (FL) to develop a predictive model of hypoxemia in intensive care unit (ICU) patients. Centralized learning (CL) and local learning (LL) approaches have been limited by the localized nature of d...
User-Centered Development of Explanation User Interfaces for AI-Based CDSS: Lessons Learned from Early Phases.
Studies in health technology and informatics
Aug 22, 2024
This paper reports lessons learned during the early phases of the user-centered design process for an explanation user interface for an AI-based clinical decision support system for the intensive care unit. This paper focuses on identifying and verif...
Applying Machine Learning for Prescriptive Support: A Use Case with Unfractionated Heparin in Intensive Care Units.
Studies in health technology and informatics
Aug 22, 2024
Continuous unfractionated heparin is widely used in intensive care, yet its complex pharmacokinetic properties complicate the determination of appropriate doses. To address this challenge, we developed machine learning models to predict over- and und...
Development and Validation of an Interpretable Machine Learning Model for Early Prognosis Prediction in ICU Patients with Malignant Tumors and Hyperkalemia.
Medicine
Jul 26, 2024
This study aims to develop and validate a machine learning (ML) predictive model for assessing mortality in patients with malignant tumors and hyperkalemia (MTH). We extracted data on patients with MTH from the Medical Information Mart for Intensive ...
Development of a Mapping Table for Nursing Notes Based on Nurses' Concerns in ICU Patients.
Studies in health technology and informatics
Jul 24, 2024
This study aimed to develop a mapping table that connects nursing notes with standard terminology, focusing on nurses' concerns for ICU patients. After extracting nursing notes from a publicly accessible database, a research team, including a nursing...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32072
- Neural Networks, Computer 30250
- Algorithms 27438
- Deep Learning 26937
- Artificial Intelligence 24871
- Robotics 13394
- Image Processing, Computer-Assisted 9748
- Retrospective Studies 9362
- Magnetic Resonance Imaging 6353
- Reproducibility of Results 5671
- Tomography, X-Ray Computed 4871
- Support Vector Machine 4774
- Computational Biology 4340
- Brain 4133
- Computer Simulation 3936
Recent Journals
- Scientific reports 6884
- Sensors (Basel, Switzerland) 4794
- PloS one 4220
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1920
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1181
- Journal of chemical information and modeling 1071
- Nature communications 1054
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 877
- Journal of medical Internet research 869
- IEEE transactions on neural networks and learning systems 856