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ROC Curve

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Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction.

Nature communications Nov 9, 2020
Artificial intelligence (AI) has demonstrated promise in predicting acute kidney injury (AKI), however, clinical adoption of these models requires interpretability and transportability. Non-interoperable data across hospitals is a major barrier to mo...
Adolescent Humans ROC Curve Artificial Intelligence Young Adult Machine Learning Adult Acute Kidney Injury Male Female Middle Aged Risk Factors Risk Assessment Aged
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Prediction of enhancer-promoter interactions using the cross-cell type information and domain adversarial neural network.

BMC bioinformatics Nov 7, 2020
BACKGROUND: Enhancer-promoter interactions (EPIs) play key roles in transcriptional regulation and disease progression. Although several computational methods have been developed to predict such interactions, their performances are not satisfactory w...
Cell Line Area Under Curve Promoter Regions, Genetic Regulatory Sequences, Nucleic Acid Humans Neural Networks, Computer ROC Curve
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Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.

Journal of medical Internet research Nov 6, 2020
BACKGROUND: COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, ...
Coronavirus Infections New York City Betacoronavirus Female Pneumonia, Viral Young Adult Pandemics Hospitals SARS-CoV-2 Humans Adult COVID-19 Adolescent Hospitalization Male Machine Learning Aged Prognosis Cohort Studies Middle Aged Aged, 80 and over Acute Kidney Injury Hospital Mortality Risk Assessment Electronic Health Records ROC Curve
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Artificial intelligence automates and augments baseline impedance measurements from pH-impedance studies in gastroesophageal reflux disease.

Journal of gastroenterology Nov 5, 2020
BACKGROUND: Artificial intelligence (AI) has potential to streamline interpretation of pH-impedance studies. In this exploratory observational cohort study, we determined feasibility of automated AI extraction of baseline impedance (AIBI) and evaluat...
Artificial Intelligence Prospective Studies Female Aged Adult Male Middle Aged Case-Control Studies ROC Curve Treatment Outcome Humans Proton Pump Inhibitors Feasibility Studies Esophageal pH Monitoring Electric Impedance Linear Models Proof of Concept Study Gastroesophageal Reflux
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Deep learning networks on chronic liver disease assessment with fine-tuning of shear wave elastography image sequences.

Physics in medicine and biology Nov 5, 2020
Chronic liver disease (CLD) is currently one of the major causes of death worldwide. If not treated, it may lead to cirrhosis, hepatic carcinoma and death. Ultrasound (US) shear wave elastography (SWE) is a relatively new, popular, non-invasive techn...
Humans Image Processing, Computer-Assisted Chronic Disease Biopsy Liver Diseases Elasticity Imaging Techniques Female Male Middle Aged Deep Learning ROC Curve
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Radiomic Detection of EGFR Mutations in NSCLC.

Cancer research Nov 4, 2020
Radiomics is defined as the use of automated or semi-automated post-processing and analysis of multiple features derived from imaging exams. Extracted features might generate models able to predict the molecular profile of solid tumors. The aim of th...
Humans Male ROC Curve Lung Neoplasms Adenocarcinoma Carcinoma, Non-Small-Cell Lung Machine Learning Algorithms Tomography, X-Ray Computed Female Reproducibility of Results Area Under Curve Mutation ErbB Receptors
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Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography.

European journal of radiology Nov 4, 2020
INTRODUCTION: Computed Tomography is an essential diagnostic tool in the management of COVID-19. Considering the large amount of examinations in high case-load scenarios, an automated tool could facilitate and save critical time in the diagnosis and ...
Deep Learning ROC Curve Radiographic Image Interpretation, Computer-Assisted Humans Reproducibility of Results COVID-19 Sensitivity and Specificity Tomography, X-Ray Computed Male Female Middle Aged Lung
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Deep learning classification of early normal-tension glaucoma and glaucoma suspects using Bruch's membrane opening-minimum rim width and RNFL.

Scientific reports Nov 4, 2020
We aimed to classify early normal-tension glaucoma (NTG) and glaucoma suspect (GS) using Bruch's membrane opening-minimum rim width (BMO-MRW), peripapillary retinal nerve fiber layer (RNFL), and the color classification of RNFL based on a deep-learni...
Diagnostic Techniques, Ophthalmological Glaucoma, Open-Angle Bruch Membrane Low Tension Glaucoma ROC Curve Image Processing, Computer-Assisted Area Under Curve Tomography, Optical Coherence Retina Humans Female Adult Intraocular Pressure Male Middle Aged Deep Learning
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Host variables confound gut microbiota studies of human disease.

Nature Nov 4, 2020
Low concordance between studies that examine the role of microbiota in human diseases is a pervasive challenge that limits the capacity to identify causal relationships between host-associated microorganisms and pathology. The risk of obtaining false...
Disease Life Style RNA, Ribosomal, 16S Confounding Factors, Epidemiologic Residence Characteristics Area Under Curve Gastrointestinal Motility Alcohol Drinking Female ROC Curve Aged Diabetes Mellitus, Type 2 Aged, 80 and over Male Body Mass Index Humans Young Adult Middle Aged Adult Machine Learning Gastrointestinal Microbiome Diet Data Analysis Case-Control Studies Feces
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Development and Validation of a Deep Learning Model for Detection of Allergic Reactions Using Safety Event Reports Across Hospitals.

JAMA network open Nov 2, 2020
IMPORTANCE: Although critical to patient safety, health care-related allergic reactions are challenging to identify and monitor.
Middle Aged Diagnosis, Computer-Assisted Deep Learning ROC Curve Reproducibility of Results Boston Humans Hypersensitivity Aged Algorithms Adult Patient Safety Cross-Sectional Studies Female Male
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