AIMC Topic: ROC Curve

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Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding.

BMJ health & care informatics Jan 1, 2021
OBJECTIVE: Gastrointestinal (GI) bleeding commonly requires intensive care unit (ICU) in cases of potentialhaemodynamiccompromise or likely urgent intervention. However, manypatientsadmitted to the ICU stop bleeding and do not require further interve...
Humans Artificial Intelligence Male ROC Curve Blood Transfusion Gastrointestinal Hemorrhage Prospective Studies Intensive Care Units Female
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Detection of Asymptomatic Carotid Artery Stenosis in High-Risk Individuals of Stroke Using a Machine-Learning Algorithm.

Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih Dec 31, 2020
Objective Asymptomatic carotid stenosis (ACS) is closely associated to the incidence of severe cerebrovascular diseases. Early identifying the individuals with ACS and its associated risk factors could be beneficial for primary prevention of stroke. ...
Humans Machine Learning Risk Factors Male Algorithms Female Middle Aged ROC Curve Decision Trees Stroke Carotid Stenosis
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An approach to predicting patient experience through machine learning and social network analysis.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: Improving the patient experience has become an essential component of any healthcare system's performance metrics portfolio. In this study, we developed a machine learning model to predict a patient's response to the Hospital Consumer Asse...
Models, Statistical Decision Trees Physician-Patient Relations Patient Satisfaction Surveys and Questionnaires ROC Curve Logistic Models Patient Outcome Assessment Social Network Analysis Humans Female Male Machine Learning Electronic Health Records
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Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: In applying machine learning (ML) to electronic health record (EHR) data, many decisions must be made before any ML is applied; such preprocessing requires substantial effort and can be labor-intensive. As the role of ML in health care gro...
Machine Learning Databases, Factual Intensive Care Units Electronic Health Records Humans Shock Data Management Risk Assessment Hospital Mortality Respiratory Insufficiency ROC Curve Data Mining
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Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database.

Medicine Dec 4, 2020
Predicting unplanned rehospitalizations has traditionally employed logistic regression models. Machine learning (ML) methods have been introduced in health service research and may improve the prediction of health outcomes. The objective of this work...
Patient Readmission France Emergency Service, Hospital Tertiary Care Centers Sex Factors Socioeconomic Factors Health Status Age Factors Algorithms Retrospective Studies Female Severity of Illness Index ROC Curve Male Humans Comorbidity Machine Learning
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Impact of Confounding Thoracic Tubes and Pleural Dehiscence Extent on Artificial Intelligence Pneumothorax Detection in Chest Radiographs.

Investigative radiology Dec 1, 2020
OBJECTIVES: We hypothesized that published performances of algorithms for artificial intelligence (AI) pneumothorax (PTX) detection in chest radiographs (CXRs) do not sufficiently consider the influence of PTX size and confounding effects caused by t...
Pleural Cavity Pneumothorax ROC Curve Image Processing, Computer-Assisted Radiography, Thoracic Humans Case-Control Studies Artificial Intelligence Retrospective Studies Cohort Studies Female
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Development and validation of radiomics model built by incorporating machine learning for identifying liver fibrosis and early-stage cirrhosis.

Chinese medical journal Nov 20, 2020
BACKGROUND: Liver fibrosis (LF) continues to develop and eventually progresses to cirrhosis. However, LF and early-stage cirrhosis (ESC) can be reversed in some cases, while advanced cirrhosis is almost impossible to cure. Advances in quantitative im...
Humans Machine Learning Retrospective Studies ROC Curve Liver Cirrhosis Diffusion Magnetic Resonance Imaging
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Machine learning based congestive heart failure detection using feature importance ranking of multimodal features.

Mathematical biosciences and engineering : MBE Nov 19, 2020
In this study, we ranked the Multimodal Features extracted from Congestive Heart Failure (CHF) and Normal Sinus Rhythm (NSR) subjects. We categorized the ranked features into 1 to 5 categories based on Empirical Receiver Operating Characteristics (ER...
Heart Failure ROC Curve Humans Support Vector Machine Machine Learning Bayes Theorem Algorithms
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A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2020
OBJECTIVE: To improve patient safety and clinical outcomes by reducing the risk of prescribing errors, we tested the accuracy of a hybrid clinical decision support system in prioritizing prescription checks.
ROC Curve Decision Support Systems, Clinical Expert Systems Humans Machine Learning Patient Safety Medical Order Entry Systems Paris Hospitals, Voluntary Medication Errors Pharmacists Prescriptions
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Synthetic minority oversampling of vital statistics data with generative adversarial networks.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2020
OBJECTIVE: Minority oversampling is a standard approach used for adjusting the ratio between the classes on imbalanced data. However, established methods often provide modest improvements in classification performance when applied to data with extrem...
Vital Statistics Humans Area Under Curve Risk Stillbirth Neural Networks, Computer ROC Curve Models, Statistical
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