AIMC Topic: Length of Stay

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Employing a low-code machine learning approach to predict in-hospital mortality and length of stay in patients with community-acquired pneumonia.

Scientific reports Jan 2, 2025
Community-acquired pneumonia (CAP) is associated with high mortality rates and often results in prolonged hospital stays. The potential of machine learning to enhance prediction accuracy in this context is significant, yet clinicians often lack the p...
Area Under Curve Data Mining Community-Acquired Infections Female Aged Aged, 80 and over Male Middle Aged Humans Length of Stay Machine Learning Hospital Mortality Retrospective Studies ROC Curve Pneumonia
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Predicting Discharge Destination From Inpatient Rehabilitation Using Machine Learning.

American journal of physical medicine & rehabilitation Dec 31, 2024
Predicting discharge destination for patients at inpatient rehabilitation facilities is important as it facilitates transitions of care and can improve healthcare resource utilization. This study aims to build on previous studies investigating discha...
Female Aged Adult Male Middle Aged Length of Stay Inpatients Patient Discharge Rehabilitation Centers Humans Machine Learning
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Machine Learning Model for Risk Prediction of Prolonged Intensive Care Unit in Patients Receiving Intra-aortic Balloon Pump Therapy during Coronary Artery Bypass Graft Surgery.

Journal of cardiovascular translational research Dec 24, 2024
This study aimed to construct machine learning models and predict prolonged intensive care units (ICU) stay in patients receiving perioperative intra-aortic balloon pump (IABP) therapy during cardiac surgery. 236 patients were divided into the normal...
Male Middle Aged Risk Assessment Length of Stay Time Factors Treatment Outcome Predictive Value of Tests Coronary Artery Bypass Intra-Aortic Balloon Pumping Intensive Care Units Female Reproducibility of Results Risk Factors Aged Humans Machine Learning Decision Support Techniques Retrospective Studies
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Exploring the prognostic impact of triglyceride-glucose index in critically ill patients with first-ever stroke: insights from traditional methods and machine learning-based mortality prediction.

Cardiovascular diabetology Dec 18, 2024
BACKGROUND: The incidence and mortality of first-ever strokes have risen sharply, especially in the intensive care unit (ICU). Emerging surrogate for insulin resistance, triglyceride-glucose index (TyG), has been linked to stroke prognosis. We aims t...
Prognosis Retrospective Studies Critical Illness Intensive Care Units Female Humans Machine Learning Databases, Factual Biomarkers Middle Aged Risk Assessment China Length of Stay Blood Glucose Reproducibility of Results Risk Factors Aged Male Stroke Time Factors Triglycerides Hospital Mortality Predictive Value of Tests Cause of Death
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Hospital Length of Stay Prediction for Planned Admissions Using Observational Medical Outcomes Partnership Common Data Model: Retrospective Study.

Journal of medical Internet research Nov 22, 2024
BACKGROUND: Accurate hospital length of stay (LoS) prediction enables efficient resource management. Conventional LoS prediction models with limited covariates and nonstandardized data have limited reproducibility when applied to the general populati...
Female Middle Aged Machine Learning Humans Length of Stay Retrospective Studies Hospitalization ROC Curve Electronic Health Records Aged Patient Admission Republic of Korea Adult Male
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Interpretable machine learning for time-to-event prediction in medicine and healthcare.

Artificial intelligence in medicine Nov 21, 2024
Time-to-event prediction, e.g. cancer survival analysis or hospital length of stay, is a highly prominent machine learning task in medical and healthcare applications. However, only a few interpretable machine learning methods comply with its challen...
Humans Neoplasms Machine Learning Length of Stay Time Factors Survival Analysis
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Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation.

BMC medical informatics and decision making Nov 20, 2024
BACKGROUND: Predicting the length of stay in advance will not only benefit the hospitals both clinically and financially but enable healthcare providers to better decision-making for improved quality of care. More importantly, understanding the lengt...
Adult Male Middle Aged Length of Stay Humans Machine Learning Retrospective Studies Female Aged
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Machine Learning Algorithms Exceed Comorbidity Indices in Prediction of Short-Term Complications After Hip Fracture Surgery.

The Journal of the American Academy of Orthopaedic Surgeons Nov 19, 2024
BACKGROUND: Hip fractures are among the most morbid acute orthopaedic injuries often due to accompanying patient frailty. The purpose of this study was to determine the reliability of assessing surgical risk after hip fracture through machine learnin...
Machine Learning Algorithms Female Reproducibility of Results Aged Humans Comorbidity Length of Stay Predictive Value of Tests Patient Readmission Hip Fractures Aged, 80 and over Male Risk Assessment Postoperative Complications
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Predicting stroke severity of patients using interpretable machine learning algorithms.

European journal of medical research Nov 14, 2024
BACKGROUND: Stroke is a significant global health concern, ranking as the second leading cause of death and placing a substantial financial burden on healthcare systems, particularly in low- and middle-income countries. Timely evaluation of stroke se...
Aged Young Adult Adult Male Middle Aged Severity of Illness Index Length of Stay Adolescent Age Factors Humans Machine Learning Retrospective Studies Female Risk Factors Iran Predictive Value of Tests Datasets as Topic Area Under Curve Triglycerides Registries Stroke
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Using AI to Predict Patients' Length of Stay: PACU Staff's Needs and Expectations for Developing and Implementing an AI System.

Journal of nursing management Nov 14, 2024
The need for innovative technology in healthcare is apparent due to challenges posed by the lack of resources. This study investigates the adoption of AI-based systems, specifically within the postanesthesia care unit (PACU). The aim of the study wa...
Recovery Room Postanesthesia Nursing Male Middle Aged Humans Qualitative Research Artificial Intelligence Length of Stay Female Adult
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