AIMC Topic: Risk Assessment

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A Hybrid Residual Network and Long Short-Term Memory Method for Peptic Ulcer Bleeding Mortality Prediction.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
The prediction of patient mortality, which can detect high-risk patients, is a significant yet challenging problem in medical informatics. Thanks to the wide adoption of electronic health records (EHRs), many data-driven methods have been proposed to...
Humans Neural Networks, Computer Peptic Ulcer Hemorrhage Algorithms Electronic Health Records Risk Assessment ROC Curve Area Under Curve
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An Interpretable ICU Mortality Prediction Model Based on Logistic Regression and Recurrent Neural Networks with LSTM units.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Most existing studies used logistic regression to establish scoring systems to predict intensive care unit (ICU) mortality. Machine learning-based approaches can achieve higher prediction accuracy but, unlike the scoring systems, frequently cannot pr...
Hospitalization Humans Neural Networks, Computer Risk Assessment Machine Learning Hospital Mortality Prognosis Logistic Models Intensive Care Units Databases, Genetic
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Defining Massive Transfusion in Civilian Pediatric Trauma With Traumatic Brain Injury.

The Journal of surgical research Dec 4, 2018
The purpose of this study was to identify an optimal definition of massive transfusion in civilian pediatric trauma with severe traumatic brain injury (TBI) METHODS: Severely injured children (age ≤18 y) with severe TBI in the Trauma Quality Improvem...
Survival Analysis Hemorrhage Injury Severity Score Blood Transfusion Brain Injuries, Traumatic Predictive Value of Tests Registries Patient Selection Humans Retrospective Studies Female Sensitivity and Specificity Male Risk Assessment Adolescent Time Factors Child, Preschool Child
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Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography.

Echocardiography (Mount Kisco, N.Y.) Dec 4, 2018
BACKGROUND: Heart disease (HD) is the leading cause of global death; there are several mortality prediction models of HD for identifying critically-ill patients and for guiding decision making. The existing models, however, cannot be used during init...
Humans Retrospective Studies Female Reproducibility of Results Risk Factors Deep Learning Cohort Studies Hospital Mortality Predictive Value of Tests Heart Heart Diseases Aged Male Echocardiography Middle Aged Risk Assessment
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Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study.

PLoS medicine Nov 30, 2018
BACKGROUND: Non-small-cell lung cancer (NSCLC) patients often demonstrate varying clinical courses and outcomes, even within the same tumor stage. This study explores deep learning applications in medical imaging allowing for the automated quantifica...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Neoplasm Staging Radiographic Image Interpretation, Computer-Assisted Preliminary Data Humans Retrospective Studies Male Tomography, X-Ray Computed Middle Aged Clinical Decision-Making Risk Assessment Female Diagnosis, Computer-Assisted Reproducibility of Results Deep Learning Risk Factors Aged Aged, 80 and over Adult
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Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study.

PLoS medicine Nov 30, 2018
BACKGROUND: Resuscitated cardiac arrest is associated with high mortality; however, the ability to estimate risk of adverse outcomes using existing illness severity scores is limited. Using in-hospital data available within the first 24 hours of admi...
Health Status Decision Support Techniques Australia Databases, Factual Registries Retrospective Studies Middle Aged New Zealand Heart Arrest Humans Risk Assessment Cardiopulmonary Resuscitation Machine Learning Clinical Decision-Making Time Factors Female Hospital Mortality Risk Factors Treatment Outcome Aged Male
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A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Nov 29, 2018
OBJECTIVES: Pediatric asthma is a leading cause of emergency department (ED) utilization and hospitalization. Earlier identification of need for hospital-level care could triage patients more efficiently to high- or low-resource ED tracks. Existing t...
ROC Curve Logistic Models Triage Emergency Service, Hospital Status Asthmaticus Humans Adolescent Hospitalization Machine Learning Child, Preschool Male Retrospective Studies Child Risk Assessment Female
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Impact of a Pharmacist-Led Intervention on 30-Day Readmission and Assessment of Factors Predictive of Readmission in African American Men With Heart Failure.

American journal of men's health Nov 28, 2018
Heart failure (HF) is responsible for more 30-day readmissions than any other condition. Minorities, particularly African American males (AAM), are at much higher risk for readmission than the general population. In this study, demographic, social, a...
Academic Medical Centers Black or African American Georgia Case-Control Studies Pharmacists Prognosis Incidence Electronic Health Records Predictive Value of Tests Hospitalization Heart Failure Humans Patient Readmission Machine Learning Aged Adult Male Middle Aged Risk Assessment
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Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study.

PLoS medicine Nov 27, 2018
BACKGROUND: The current acute kidney injury (AKI) risk prediction model for patients undergoing percutaneous coronary intervention (PCI) from the American College of Cardiology (ACC) National Cardiovascular Data Registry (NCDR) employed regression te...
Risk Assessment Time Factors Treatment Outcome Registries Percutaneous Coronary Intervention Reproducibility of Results Risk Factors Aged Male Middle Aged Data Mining Protective Factors Humans Acute Kidney Injury Clinical Decision-Making Female Machine Learning Decision Support Techniques Retrospective Studies
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Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.

PLoS medicine Nov 27, 2018
BACKGROUND: Pythia is an automated, clinically curated surgical data pipeline and repository housing all surgical patient electronic health record (EHR) data from a large, quaternary, multisite health institute for data science initiatives. In an eff...
Electronic Health Records Female Reproducibility of Results Risk Factors Aged Young Adult Humans Machine Learning Retrospective Studies Automation Adult Comorbidity Male Adolescent Middle Aged Health Status Risk Assessment Data Mining Postoperative Complications Surgical Procedures, Operative
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