AIMC Topic: Intensive Care Units

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Minimizing Selection and Classification Biases. Comment on "Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing".

Journal of medical Internet research May 26, 2021
Bias Retrospective Studies Intensive Care Units SARS-CoV-2 Natural Language Processing Humans Machine Learning COVID-19 Prognosis
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Med7: A transferable clinical natural language processing model for electronic health records.

Artificial intelligence in medicine May 18, 2021
Electronic health record systems are ubiquitous and the majority of patients' data are now being collected electronically in the form of free text. Deep learning has significantly advanced the field of natural language processing and the self-supervi...
Humans Intensive Care Units Electronic Health Records Natural Language Processing Information Storage and Retrieval
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OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality.

BMC medical informatics and decision making May 13, 2021
BACKGROUND: Severity scores assess the acuity of critical illness by penalizing for the deviation of physiologic measurements from normal and aggregating these penalties (also called "weights" or "subscores") into a final score (or probability) for q...
Humans Machine Learning Prognosis Retrospective Studies Intensive Care Units Hospital Mortality
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Prediction of weaning from mechanical ventilation using Convolutional Neural Networks.

Artificial intelligence in medicine May 5, 2021
Weaning from mechanical ventilation covers the process of liberating the patient from mechanical support and removing the associated endotracheal tube. The management of weaning from mechanical ventilation comprises a significant proportion of the ca...
Neural Networks, Computer Critical Illness Intensive Care Units Respiration, Artificial Ventilator Weaning Humans
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Machine learning-based mortality prediction model for heat-related illness.

Scientific reports May 4, 2021
In this study, we aimed to develop and validate a machine learning-based mortality prediction model for hospitalized heat-related illness patients. After 2393 hospitalized patients were extracted from a multicentered heat-related illness registry in ...
Aged Male Middle Aged Length of Stay Machine Learning Humans Area Under Curve Prognosis Registries Intensive Care Units Japan Female APACHE Hot Temperature Hospital Mortality ROC Curve Logistic Models Support Vector Machine
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A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients.

Journal of nephrology Apr 26, 2021
BACKGROUND: Acute Kidney Injury (AKI), a frequent complication of pateints in the Intensive Care Unit (ICU), is associated with a high mortality rate. Early prediction of AKI is essential in order to trigger the use of preventive care actions.
Humans Retrospective Studies Acute Kidney Injury Critical Illness Intensive Care Units Deep Learning
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Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit.

Scientific reports Apr 23, 2021
Acute gastrointestinal bleeding is the most common gastrointestinal cause for hospitalization. For high-risk patients requiring intensive care unit stay, predicting transfusion needs during the first 24 h using dynamic risk assessment may improve res...
Patient Admission Erythrocyte Transfusion Middle Aged Risk Assessment Cohort Studies Gastrointestinal Hemorrhage Neural Networks, Computer Intensive Care Units Female Reproducibility of Results Aged Aged, 80 and over Adult Male Humans
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Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016.

JAMA network open Apr 1, 2021
IMPORTANCE: Quality improvement programs for colorectal cancer surgery have been introduced with benchmarking based on quality indicators, such as mortality. Detailed (pre)operative characteristics may offer relevant information for proper case-mix c...
Humans Colectomy Multivariate Analysis Mortality Laparoscopy Colorectal Neoplasms Myocardial Infarction Male Netherlands Middle Aged Aged Machine Learning Hypertension Patient Readmission Length of Stay Comorbidity Aged, 80 and over Intensive Care Units Support Vector Machine Logistic Models Pulmonary Disease, Chronic Obstructive Female Area Under Curve Asthma Risk Factors
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Individualized prediction of COVID-19 adverse outcomes with MLHO.

Scientific reports Mar 5, 2021
The COVID-19 pandemic has devastated the world with health and economic wreckage. Precise estimates of adverse outcomes from COVID-19 could have led to better allocation of healthcare resources and more efficient targeted preventive measures, includi...
Data Mining COVID-19 Respiration, Artificial Prognosis ROC Curve Adult Retrospective Studies Age Factors Male Intensive Care Units Models, Statistical Middle Aged Humans Risk Factors Risk Assessment Machine Learning Hospitalization Electronic Health Records Pandemics Aged Female Aged, 80 and over Reproducibility of Results SARS-CoV-2
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Machine learning based predictors for COVID-19 disease severity.

Scientific reports Feb 25, 2021
Predictors of the need for intensive care and mechanical ventilation can help healthcare systems in planning for surge capacity for COVID-19. We used socio-demographic data, clinical data, and blood panel profile data at the time of initial presentat...
Cohort Studies Aged Aged, 80 and over Intensive Care Units Humans Male Female Young Adult SARS-CoV-2 Machine Learning Middle Aged Risk Factors Adult COVID-19 Severity of Illness Index Prognosis Adolescent
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