AIMC Topic: ROC Curve

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A machine learning-based pulmonary venous obstruction prediction model using clinical data and CT image.

International journal of computer assisted radiology and surgery Mar 31, 2021
PURPOSE: In this study, we try to consider the most common type of total anomalous pulmonary venous connection and established a machine learning-based prediction model for postoperative pulmonary venous obstruction by using clinical data and CT imag...
Predictive Value of Tests Area Under Curve Vascular Diseases Pulmonary Veins Lung ROC Curve Logistic Models Humans Neural Networks, Computer Machine Learning Tomography, X-Ray Computed
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A deep learning classifier for digital breast tomosynthesis.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Mar 31, 2021
PURPOSE: To develop a computerized detection system for the automatic classification of the presence/absence of mass lesions in digital breast tomosynthesis (DBT) annotated exams, based on a deep convolutional neural network (DCNN).
ROC Curve Mammography Area Under Curve Neural Networks, Computer Female Breast Neoplasms Deep Learning Humans
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Prediction of risk of acquiring urinary tract infection during hospital stay based on machine-learning: A retrospective cohort study.

PloS one Mar 31, 2021
BACKGROUND: Healthcare associated infections (HAI) are a major burden for the healthcare system and associated with prolonged hospital stay, increased morbidity, mortality and costs. Healthcare associated urinary tract infections (HA-UTI) accounts fo...
Urinary Tract Infections Young Adult Cross Infection Electronic Health Records Middle Aged Female Patient Admission Adult Humans Risk Factors Length of Stay Machine Learning Male ROC Curve Aged Retrospective Studies Denmark
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Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography.

The British journal of ophthalmology Mar 30, 2021
AIM: To explore and evaluate an appropriate deep learning system (DLS) for the detection of 12 major fundus diseases using colour fundus photography.
Deep Learning ROC Curve Color Fundus Oculi Humans Diabetic Retinopathy Sensitivity and Specificity Optic Nerve Diseases Photography
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Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study.

Medical physics Mar 30, 2021
PURPOSE: The present study assessed the predictive value of peritumoral regions on three tumor tasks, and further explored the influence of peritumors with different sizes.
Artificial Intelligence Humans Retrospective Studies Deep Learning ROC Curve
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Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox.

Genome biology Mar 30, 2021
The human microbiome is increasingly mined for diagnostic and therapeutic biomarkers using machine learning (ML). However, metagenomics-specific software is scarce, and overoptimistic evaluation and limited cross-study generalization are prevailing i...
Metagenomics Confounding Factors, Epidemiologic Metagenome Machine Learning Gastrointestinal Microbiome Meta-Analysis as Topic Software Humans Databases, Genetic Workflow ROC Curve Crohn Disease Models, Statistical Computational Biology Microbiota
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Performance of deep learning models constructed using panoramic radiographs from two hospitals to diagnose fractures of the mandibular condyle.

Dento maxillo facial radiology Mar 26, 2021
OBJECTIVE: The present study aimed to verify the classification performance of deep learning (DL) models for diagnosing fractures of the mandibular condyle on panoramic radiographs using data sets from two hospitals and to compare their internal and ...
Humans Hospitals Deep Learning ROC Curve Radiography, Panoramic Mandibular Condyle Mandibular Fractures
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Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patients.

American journal of surgery Mar 26, 2021
BACKGROUND: The clinical impact of postoperative opioid use requires accurate prediction strategies to identify at-risk patients. We utilize preoperative claims data to predict postoperative opioid refill and new persistent use in opioid-naïve patien...
Young Adult Adult Male Middle Aged Comorbidity ROC Curve Area Under Curve Forecasting Back Pain Retrospective Studies Databases, Pharmaceutical Female Postoperative Period Insurance Claim Review Abdominal Pain Aged Humans Prescription Drug Overuse Drug Prescriptions Machine Learning Preoperative Period Analgesics, Opioid Arthralgia Headache
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Identification of SARS-CoV-2 viral entry inhibitors using machine learning and cell-based pseudotyped particle assay.

Bioorganic & medicinal chemistry Mar 26, 2021
In response to the pandemic caused by SARS-CoV-2, we constructed a hybrid support vector machine (SVM) classification model using a set of publicly posted SARS-CoV-2 pseudotyped particle (PP) entry assay repurposing screen data to identify novel pote...
Virus Internalization Humans SARS-CoV-2 Microbial Sensitivity Tests ROC Curve Area Under Curve HEK293 Cells Databases, Chemical Antiviral Agents Small Molecule Libraries Support Vector Machine Drug Repositioning
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The Budapest Amyloid Predictor and Its Applications.

Biomolecules Mar 26, 2021
The amyloid state of proteins is widely studied with relevance to neurology, biochemistry, and biotechnology. In contrast with nearly amorphous aggregation, the amyloid state has a well-defined structure, consisting of parallel and antiparallel β-she...
Area Under Curve Neural Networks, Computer Amyloid ROC Curve Computational Biology
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