AI Medical Compendium Journal:
Critical care medicine

Showing 31 to 40 of 45 articles

A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.

Critical care medicine Nov 1, 2019
OBJECTIVES: Develop and implement a machine learning algorithm to predict severe sepsis and septic shock and evaluate the impact on clinical practice and patient outcomes.
Diagnosis, Computer-Assisted Sepsis Cohort Studies Decision Support Systems, Clinical Algorithms Retrospective Studies Electronic Health Records Sensitivity and Specificity Humans Machine Learning Shock, Septic Text Messaging Hospitals, Teaching
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Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock.

Critical care medicine Nov 1, 2019
OBJECTIVE: To assess clinician perceptions of a machine learning-based early warning system to predict severe sepsis and septic shock (Early Warning System 2.0).
Electronic Health Records Diagnosis, Computer-Assisted Attitude of Health Personnel Sepsis Machine Learning Algorithms Prospective Studies Nursing Staff, Hospital Medical Staff, Hospital Practice Patterns, Nurses' Hospitals, Teaching Decision Support Systems, Clinical Humans Shock, Septic Practice Patterns, Physicians' Text Messaging
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Outcome Prediction in Postanoxic Coma With Deep Learning.

Critical care medicine Oct 1, 2019
OBJECTIVES: Visual assessment of the electroencephalogram by experienced clinical neurophysiologists allows reliable outcome prediction of approximately half of all comatose patients after cardiac arrest. Deep neural networks hold promise to achieve ...
Humans Prospective Studies Female Predictive Value of Tests Electroencephalography Heart Arrest Coma Aged Male Middle Aged Deep Learning Hypoxia, Brain
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Toward the "Plateau of Productivity": Enhancing the Value of Machine Learning in Critical Care.

Critical care medicine Jul 1, 2018
Machine Learning Humans Algorithms Intensive Care Units Critical Care
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Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.

Critical care medicine Jul 1, 2018
OBJECTIVES: Early prediction of undesired outcomes among newly hospitalized patients could improve patient triage and prompt conversations about patients' goals of care. We evaluated the performance of logistic regression, gradient boosting machine, ...
Natural Language Processing Patient Care Planning Middle Aged Humans Length of Stay Machine Learning Hospital Mortality Decision Support Techniques Intensive Care Units Retrospective Studies Female Aged Male
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The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

Critical care medicine Jul 1, 2018
OBJECTIVES: To develop an acute kidney injury risk prediction model using electronic health record data for longitudinal use in hospitalized patients.
Creatinine ROC Curve Models, Statistical Area Under Curve Algorithms Renal Replacement Therapy Acute Kidney Injury Electronic Health Records Female Reproducibility of Results Male Middle Aged Humans Machine Learning
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Mortality Prediction Gets a "Boost".

Critical care medicine Jun 1, 2018
Algorithms Hospital Mortality Critical Care Risk Adjustment Humans Machine Learning
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Development and Evaluation of an Automated Machine Learning Algorithm for In-Hospital Mortality Risk Adjustment Among Critical Care Patients.

Critical care medicine Jun 1, 2018
OBJECTIVES: Risk adjustment algorithms for ICU mortality are necessary for measuring and improving ICU performance. Existing risk adjustment algorithms are not widely adopted. Key barriers to adoption include licensing and implementation costs as wel...
Humans Algorithms Intensive Care Units Female Male Middle Aged Hospital Mortality Models, Statistical Unsupervised Machine Learning Risk Adjustment
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An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

Critical care medicine Apr 1, 2018
OBJECTIVES: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critically ill patients. Early intervention with antibiotics improves survival in septic patients. However, no clinically validated system exists for real-ti...
Vital Signs Hospital Mortality ROC Curve Critical Illness Decision Support Systems, Clinical Humans Intensive Care Units Socioeconomic Factors Machine Learning Electronic Health Records Aged Severity of Illness Index Sex Factors Female Male Sepsis Academic Medical Centers Electrocardiography Middle Aged Time Factors Time-to-Treatment Age Factors Comorbidity Organ Dysfunction Scores Blood Pressure Heart Rate
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From Big Data to Artificial Intelligence: Harnessing Data Routinely Collected in the Process of Care.

Critical care medicine Feb 1, 2018
Big Data Tidal Volume Artificial Intelligence Algorithms Delivery of Health Care
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