AIMC Topic: Intensive Care Units

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Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists.

Critical care medicine Mar 2, 2022
OBJECTIVE: As data science and artificial intelligence continue to rapidly gain traction, the publication of freely available ICU datasets has become invaluable to propel data-driven clinical research. In this guide for clinicians and researchers, we...
Humans Artificial Intelligence Databases, Factual Critical Care Data Accuracy Intensive Care Units Datasets as Topic Adult Systematic Reviews as Topic
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The Feasibility of a Machine Learning Approach in Predicting Successful Ventilator Mode Shifting for Adult Patients in the Medical Intensive Care Unit.

Medicina (Kaunas, Lithuania) Mar 1, 2022
: Traditional assessment of the readiness for the weaning from the mechanical ventilator (MV) needs respiratory parameters in a spontaneous breath. Exempted from the MV disconnecting and manual measurements of weaning parameters, a prediction model b...
Feasibility Studies Ventilators, Mechanical Humans Machine Learning Retrospective Studies Intensive Care Units Adult
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Learning Predictive and Interpretable Timeseries Summaries from ICU Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Machine learning models that utilize patient data across time (rather than just the most recent measurements) have increased performance for many risk stratification tasks in the intensive care unit. However, many of these models and their learned re...
Intensive Care Units Humans Hospital Mortality Machine Learning
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COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data.

European radiology Feb 19, 2022
OBJECTIVES: We aimed to develop deep learning models using longitudinal chest X-rays (CXRs) and clinical data to predict in-hospital mortality of COVID-19 patients in the intensive care unit (ICU).
X-Rays Intensive Care Units Deep Learning Radiography Humans COVID-19
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Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine.

Scientific reports Feb 17, 2022
Temporal dataset shift associated with changes in healthcare over time is a barrier to deploying machine learning-based clinical decision support systems. Algorithms that learn robust models by estimating invariant properties across time periods for ...
Sepsis Models, Biological Male Middle Aged Length of Stay Aged Aged, 80 and over Humans Neural Networks, Computer Databases, Factual Intensive Care Units Female
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Early heart rate variability evaluation enables to predict ICU patients' outcome.

Scientific reports Feb 15, 2022
Heart rate variability (HRV) is a mean to evaluate cardiac effects of autonomic nervous system activity, and a relation between HRV and outcome has been proposed in various types of patients. We attempted to evaluate the best determinants of such var...
Intensive Care Units Female Aged Prospective Studies Prognosis Severity of Illness Index Length of Stay Hospital Mortality Male Middle Aged Respiration, Artificial Humans Neural Networks, Computer Machine Learning Heart Rate Respiratory Function Tests Patient Admission Electrocardiography Oxygen Saturation
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External Validation of a Laboratory Prediction Algorithm for the Reduction of Unnecessary Labs in the Critical Care Setting.

The American journal of medicine Jan 31, 2022
BACKGROUND: Unnecessary laboratory tests contribute to iatrogenic harm and are a major source of waste in the health care system. We previously developed a machine learning algorithm to help clinicians identify unnecessary laboratory tests, but it ha...
Critical Care Intensive Care Units Area Under Curve Humans Machine Learning Algorithms
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Developing machine learning models for prediction of mortality in the medical intensive care unit.

Computer methods and programs in biomedicine Jan 26, 2022
BACKGROUND AND OBJECTIVE: Alert of patient deterioration is essential for prompt medical intervention in the Medical Intensive Care Unit (MICU). Logistic Regression (LR) has been used for the development of most conventional severity-of-illness scori...
Databases, Factual Intensive Care Units Adult Hospital Mortality Humans Models, Statistical Machine Learning Bayes Theorem
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Machine Learning Approaches-Driven for Mortality Prediction for Patients Undergoing Craniotomy in ICU.

Brain injury Jan 26, 2022
OBJECTIVES: We aimed to predict the mortality of patients with craniotomy in ICU by using predictive models to extract the high-risk factors leading to the death of patients from a retrospective a study.
Machine Learning Retrospective Studies Intensive Care Units Hospital Mortality Craniotomy Humans
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Development and validation of a machine learning algorithm-based risk prediction model of pressure injury in the intensive care unit.

International wound journal Jan 25, 2022
The study aimed to establish a machine learning-based scoring nomogram for early recognition of likely pressure injuries in an intensive care unit (ICU) using large-scale clinical data. A retrospective cohort study design was employed to develop and ...
Algorithms Retrospective Studies Intensive Care Units Electronic Health Records Pressure Ulcer Humans Machine Learning
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