AIMC Topic: Hospital Mortality

Clear Filters Showing 231 to 240 of 347 articles

ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU.

Journal of biomedical informatics Aug 17, 2019
To improve the performance of Intensive Care Units (ICUs), the field of bio-statistics has developed scores which try to predict the likelihood of negative outcomes. These help evaluate the effectiveness of treatments and clinical practice, and also ...
Humans Neural Networks, Computer Machine Learning Algorithms Deep Learning Hospital Mortality ROC Curve Retrospective Studies Area Under Curve Intensive Care Units Critical Care Electronic Health Records Medical Informatics Reproducibility of Results Sensitivity and Specificity
View on PubMed DOI

Combining patient visual timelines with deep learning to predict mortality.

PloS one Jul 31, 2019
BACKGROUND: Deep learning algorithms have achieved human-equivalent performance in image recognition. However, the majority of clinical data within electronic health records is inherently in a non-image format. Therefore, creating visual representati...
Male Middle Aged Deep Learning Hospital Mortality ROC Curve Retrospective Studies Intensive Care Units Electronic Health Records Female Humans Hospitalization Neural Networks, Computer Patient Admission Machine Learning Vital Signs
View on PubMed DOI

Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention.

JACC. Cardiovascular interventions Jun 26, 2019
OBJECTIVES: This study sought to determine whether machine learning can be used to better identify patients at risk for death or congestive heart failure (CHF) rehospitalization after percutaneous coronary intervention (PCI).
Minnesota Registries Percutaneous Coronary Intervention Coronary Artery Disease Heart Failure Patient Readmission Humans Machine Learning Reproducibility of Results Decision Support Techniques Risk Factors Clinical Decision-Making Risk Assessment Aged Female Time Factors Male Hospital Mortality Middle Aged Treatment Outcome Predictive Value of Tests
View on PubMed DOI

Using a Multi-Task Recurrent Neural Network With Attention Mechanisms to Predict Hospital Mortality of Patients.

IEEE journal of biomedical and health informatics May 13, 2019
Estimating hospital mortality of patients is important in assisting clinicians to make decisions and hospital providers to allocate resources. This paper proposed a multi-task recurrent neural network with attention mechanisms to predict patients' ho...
Humans Neural Networks, Computer Electronic Health Records Female Aged Male Middle Aged Hospital Mortality
View on PubMed DOI

Heterogeneous effects of alveolar recruitment in acute respiratory distress syndrome: a machine learning reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial.

British journal of anaesthesia Apr 5, 2019
BACKGROUND: Despite a robust physiological rationale, recruitment manoeuvres with PEEP titration were associated with harm in the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial (ART). We sought to investigate the potential heterog...
Young Adult Adult Male Middle Aged Adolescent Humans Machine Learning Female Aged Aged, 80 and over Pulmonary Alveoli Clinical Protocols Hospital Mortality Cluster Analysis Respiratory Distress Syndrome Positive-Pressure Respiration Bayes Theorem
View on PubMed DOI

Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures.

The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons Feb 23, 2019
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduction and internal fixation (ORIF). Several patient-related risk factors may contribute to poor short-term outcomes, and machine learning may be a valua...
Humans Machine Learning Algorithms Databases, Factual Female Lung Diseases Risk Factors United States Medicare Cross-Sectional Studies Hypertension Heart Failure Diabetes Mellitus Anemia Age Factors Renal Insufficiency Fracture Fixation, Internal Ankle Fractures Male Medicaid Middle Aged Open Fracture Reduction Postoperative Complications Length of Stay Hospital Mortality
View on PubMed DOI

DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Scientific reports Feb 12, 2019
Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static variable thresholds. These methods do not capitalize on the emerging a...
Deep Learning Length of Stay Adolescent Hospital Mortality Longitudinal Studies Decision Making Area Under Curve Probability Young Adult Critical Care Adult Organ Dysfunction Scores Male Humans Middle Aged Databases, Factual Severity of Illness Index Retrospective Studies Critical Illness Intensive Care Units Female Aged
View on PubMed DOI

Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers.

Disease markers Jan 30, 2019
INTRODUCTION: Hematological indices including red cell distribution width and neutrophil to lymphocyte ratio are proven to be associated with outcomes of acute coronary syndrome. The usefulness of machine learning techniques in predicting mortality a...
Hospital Mortality Acute Coronary Syndrome Lymphocyte Count Female Erythrocyte Count Aged Humans Survival Rate Machine Learning Male Biomarkers Middle Aged
View on PubMed DOI

Comparison of artificial neural network and logistic regression models for prediction of outcomes in trauma patients: A systematic review and meta-analysis.

Injury Jan 11, 2019
BACKGROUND: Currently, two models of artificial neural network (ANN) and logistic regression (LR) are known as models that extensively used in medical sciences. The aim of this study was to compare the ANN and LR models in prediction of Health-relate...
Survival Analysis Injury Severity Score Wounds and Injuries Neural Networks, Computer Hospital Mortality Logistic Models Predictive Value of Tests Area Under Curve Humans
View on PubMed DOI

Role of interleukin-3 as a prognostic marker in septic patients.

Revista Brasileira de terapia intensiva Jan 10, 2019
OBJECTIVE: To evaluate the accuracy of IL-3 to predict the outcome of septic patients.
Middle Aged Reproducibility of Results Aged Sepsis Adult Humans Predictive Value of Tests Cohort Studies Sensitivity and Specificity Interleukin-3 Prospective Studies Hospital Mortality Male Prognosis Shock, Septic Intensive Care Units Female
View on PubMed DOI
Popular Topics
Recent Journals