AIMC Topic: Patient Admission

Clear Filters Showing 1 to 10 of 72 articles

Predicting Emergency Severity Index (ESI) level, hospital admission, and admitting ward in an emergency department using data-driven machine learning.

BMC medical informatics and decision making Jul 28, 2025
INTRODUCTION: Emergency departments (EDs) are critical for ensuring timely patient care, especially in triage, where accurate prioritisation is essential for patient safety and resource utilisation. Building on previous research, this study leverages...
Patient Admission Middle Aged Severity of Illness Index Triage Emergency Service, Hospital Humans Machine Learning Aged Adult Male Female Hospitalization
View on PubMed DOI

Development of a machine learning-derived model to predict unplanned ICU admissions after major non-cardiac surgery.

BMC anesthesiology Jul 17, 2025
BACKGROUND: Unplanned postoperative intensive care unit admissions (UIAs) are rare events that cause significant challenges to perioperative workflow. We describe the development of a machine-learning derived model to predict UIAs using only widely u...
Humans Machine Learning Decision Trees Patient Admission Adult Male Middle Aged Postoperative Complications Retrospective Studies Intensive Care Units Female Aged
View on PubMed DOI

AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients.

Journal of medical Internet research Jul 10, 2025
BACKGROUND: One of the main challenges with COVID-19 has been that although there are known factors associated with a worse prognosis, clinicians have been unable to predict which patients, with similar risk factors, will die or require intensive car...
Retrospective Studies Intensive Care Units Female SARS-CoV-2 Artificial Intelligence Pandemics COVID-19 Prognosis Middle Aged Spain Patient Admission Hospitalization Aged Adult Male Humans
View on PubMed DOI

Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission.

Scientific reports Jul 1, 2025
Scientists aim to create a system that can predict the likelihood of newborns being admitted to the neonatal intensive care unit (NICU) by combining various statistical methods. This prediction could potentially reduce the negative health outcomes, d...
Iran Patient Admission Intensive Care Units, Neonatal Infant, Newborn Adult Male ROC Curve Retrospective Studies Pregnancy Female Humans Machine Learning
View on PubMed DOI

Identifying real time surveillance indicators to estimate COVID-19 hospital admissions in Colorado during and after the public health emergency.

Scientific reports Jul 1, 2025
Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respiratory diseases. We used an archive of COVID-19 data in Colorado from October 2020 to March 2024 to reconstruct seven real-time surveillance indicators...
COVID-19 SARS-CoV-2 Hospitalization Public Health Patient Admission Colorado Public Health Surveillance Emergency Service, Hospital Humans
View on PubMed DOI

Prediction of postoperative intensive care unit admission with artificial intelligence models in non-small cell lung carcinoma.

European journal of medical research Apr 15, 2025
BACKGROUND: There is no standard practice for intensive care admission after non-small cell lung cancer surgery. In this study, we aimed to determine the need for intensive care admission after non-small cell lung cancer surgery with deep learning mo...
Humans Neural Networks, Computer Artificial Intelligence Lung Neoplasms Aged Carcinoma, Non-Small-Cell Lung Postoperative Care Patient Admission Algorithms Retrospective Studies Intensive Care Units Female Male Middle Aged Deep Learning
View on PubMed DOI

Predicting hospital admissions, ICU utilization, and prolonged length of stay among febrile pediatric emergency department patients using incomplete and imbalanced electronic health record (EHR) data strategies.

International journal of medical informatics Apr 4, 2025
OBJECTIVE: Determine the efficacy of commonly used approaches to handling missing and/or imbalanced Electronic Health Record (EHR) data on the performance of predictive models targeting risk of admission, intensive care unit (ICU) use, or prolonged l...
Humans Intensive Care Units Electronic Health Records Female Child, Preschool Emergency Service, Hospital Hospitalization Child Fever Male Patient Admission Infant Length of Stay
View on PubMed DOI

Development and validation of interpretable machine learning models for triage patients admitted to the intensive care unit.

PloS one Feb 18, 2025
OBJECTIVES: Developing and validating interpretable machine learning (ML) models for predicting whether triaged patients need to be admitted to the intensive care unit (ICU).
Middle Aged ROC Curve Female Bayes Theorem Humans Triage Aged Patient Admission Area Under Curve Machine Learning Adult Algorithms Male Intensive Care Units
View on PubMed DOI

Predicting 28-day all-cause mortality in patients admitted to intensive care units with pre-existing chronic heart failure using the stress hyperglycemia ratio: a machine learning-driven retrospective cohort analysis.

Cardiovascular diabetology Jan 8, 2025
Chronic heart failure (CHF) poses a significant threat to human health. The stress hyperglycemia ratio (SHR) is a novel metric for accurately assessing stress hyperglycemia, which has been correlated with adverse outcomes in various major diseases. H...
Cause of Death Heart Failure Patient Admission Intensive Care Units Female Risk Factors Aged Databases, Factual Biomarkers Prognosis Retrospective Studies Blood Glucose Aged, 80 and over Humans Time Factors Hyperglycemia Machine Learning Male Chronic Disease Decision Support Techniques Middle Aged Predictive Value of Tests Risk Assessment
View on PubMed DOI

Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study.

BMC emergency medicine Jan 6, 2025
INTRODUCTION: Overcrowding in emergency departments (ED) is a major public health issue, leading to increased workload and exhaustion for the teams, resulting poor outcomes. It seems interesting to be able to predict the admissions of patients in the...
Male Middle Aged Emergency Service, Hospital France Patient Admission Crowding Machine Learning Algorithms Retrospective Studies Female Humans
View on PubMed DOI
Popular Topics
Recent Journals