A systematic literature review of predicting patient discharges using statistical methods and machine learning
Discharge planning is integral to patient flow as delays can lead to hospital-wide
congestion. Because a structured discharge plan can reduce hospital length of stay while …
congestion. Because a structured discharge plan can reduce hospital length of stay while …
Stroke mortality prediction using machine learning: systematic review
Background and aims Accurate prognostication of stroke may help in appropriate therapy
and rehabilitation planning. In the past few years, several machine learning (ML) algorithms …
and rehabilitation planning. In the past few years, several machine learning (ML) algorithms …
From admission to discharge: predicting national institutes of health stroke scale progression in stroke patients using biomarkers and explainable machine learning
As a result of social progress and improved living conditions, which have contributed to a
prolonged life expectancy, the prevalence of strokes has increased and has become a …
prolonged life expectancy, the prevalence of strokes has increased and has become a …
Risk factor identification and prediction models for prolonged length of stay in hospital after acute ischemic stroke using artificial neural networks
Background Accurate estimation of prolonged length of hospital stay after acute ischemic
stroke provides crucial information on medical expenditure and subsequent disposition. This …
stroke provides crucial information on medical expenditure and subsequent disposition. This …
Development and validation of a machine learning-based prognostic risk stratification model for acute ischemic stroke
Acute ischemic stroke (AIS) is a most prevalent cause of serious long-term disability
worldwide. Accurate prediction of stroke prognosis is highly valuable for effective …
worldwide. Accurate prediction of stroke prognosis is highly valuable for effective …
[HTML][HTML] Machine learning for storage duration based on volatile organic compounds emitted from'Jukhyang'and'Merry Queen'strawberries during post-harvest storage
E Do, M Kim, DY Ko, M Lee, C Lee, KM Ku - Postharvest Biology and …, 2024 - Elsevier
Abstract Strawberry (Fragaria× ananassa Duch.) is a widely favored horticultural crop
renowned for its unique taste and flavor. To develop an accurate predictive model for …
renowned for its unique taste and flavor. To develop an accurate predictive model for …
Predicting short and long-term mortality after acute ischemic stroke using EHR
Objective Despite improvements in treatment, stroke remains a leading cause of mortality
and long-term disability. In this study, we leveraged administrative data to build predictive …
and long-term disability. In this study, we leveraged administrative data to build predictive …
Hospital length of stay and 30-day mortality prediction in stroke: a machine learning analysis of 17,000 ICU admissions in Brazil
Background Hospital length of stay and mortality are associated with resource use and
clinical severity, respectively, in patients admitted to the intensive care unit (ICU) with acute …
clinical severity, respectively, in patients admitted to the intensive care unit (ICU) with acute …
Evaluation of blood biomarkers and parameters for the prediction of stroke survivors' functional outcome upon discharge utilizing explainable machine learning
Despite therapeutic advancements, stroke remains a leading cause of death and long-term
disability. The quality of current stroke prognostic models varies considerably, whereas …
disability. The quality of current stroke prognostic models varies considerably, whereas …
The Artificial Intelligence Revolution in Stroke Care: A Decade of Scientific Evidence in Review
Background The emergence of artificial intelligence (AI) has significantly influenced the
diagnostic evaluation of stroke and has revolutionized acute stroke care delivery. The …
diagnostic evaluation of stroke and has revolutionized acute stroke care delivery. The …