AIMC Topic: ROC Curve

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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...
Retrospective Studies ROC Curve Liver Cirrhosis Diffusion Magnetic Resonance Imaging Humans Machine Learning
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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...
Bayes Theorem Heart Failure Humans Machine Learning Algorithms ROC Curve Support Vector Machine
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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.
Decision Support Systems, Clinical Expert Systems Medication Errors Pharmacists Humans Machine Learning Patient Safety ROC Curve Prescriptions Medical Order Entry Systems Paris Hospitals, Voluntary
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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...
Area Under Curve Risk Stillbirth Vital Statistics Humans Neural Networks, Computer ROC Curve Models, Statistical
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Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning.

Clinical chemistry Nov 1, 2020
BACKGROUND: Accurate diagnostic strategies to identify SARS-CoV-2 positive individuals rapidly for management of patient care and protection of health care personnel are urgently needed. The predominant diagnostic test is viral RNA detection by RT-PC...
Adult Male Middle Aged Reverse Transcriptase Polymerase Chain Reaction Retrospective Studies Female Aged Young Adult Laboratories Humans ROC Curve Hematologic Tests Machine Learning Models, Theoretical Pandemics Clinical Laboratory Techniques Coronavirus Infections COVID-19 Pneumonia, Viral COVID-19 Testing
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DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteins.

Molecular omics Oct 12, 2020
Methylation, which is one of the most prominent post-translational modifications on proteins, regulates many important cellular functions. Though several model-based methylation site predictors have been reported, all existing methods employ machine ...
Databases, Protein Methylation Arginine Deep Learning ROC Curve Protein Processing, Post-Translational Proteins Neural Networks, Computer Algorithms Reproducibility of Results
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Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms.

The Lancet. Digital health Oct 1, 2020
BACKGROUND: The application of deep learning to retinal photographs has yielded promising results in predicting age, sex, blood pressure, and haematological parameters. However, the broader applicability of retinal photograph-based deep learning for ...
Deep Learning Beijing ROC Curve Asia Area Under Curve Humans Image Processing, Computer-Assisted Photography Creatinine Republic of Korea Neural Networks, Computer Singapore Muscles Europe Female Body Composition Retina Algorithms Male Models, Biological Biomarkers Middle Aged Ethnicity United Kingdom
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Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: The study sought to explore the use of deep learning techniques to measure the semantic relatedness between Unified Medical Language System (UMLS) concepts.
Medical Subject Headings Deep Learning Terminology as Topic Unified Medical Language System ROC Curve Natural Language Processing Semantics
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Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases.

JAMA ophthalmology Oct 1, 2020
IMPORTANCE: Recent studies have demonstrated the successful application of artificial intelligence (AI) for automated retinal disease diagnostics but have not addressed a fundamental challenge for deep learning systems: the current need for large, cr...
Deep Learning ROC Curve Rare Diseases Retrospective Studies Female Cross-Sectional Studies Humans Male Diabetic Retinopathy Neural Networks, Computer Artificial Intelligence Algorithms
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A statistically rigorous deep neural network approach to predict mortality in trauma patients admitted to the intensive care unit.

The journal of trauma and acute care surgery Oct 1, 2020
BACKGROUND: Trauma patients admitted to critical care are at high risk of mortality because of their injuries. Our aim was to develop a machine learning-based model to predict mortality using Fahad-Liaqat-Ahmad Intensive Machine (FLAIM) framework. We...
Humans Neural Networks, Computer Machine Learning Wounds and Injuries Sepsis Prognosis ROC Curve Retrospective Studies Sodium Critical Care Proportional Hazards Models Multivariate Analysis Critical Illness Young Adult Injury Severity Score Intensive Care Units Organ Dysfunction Scores Adult Female Male Hospitalization Middle Aged
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