AIMC Topic:
ROC Curve

Clear Filters Showing 1761 to 1770 of 3214 articles

Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.

Radiology Mar 19, 2020
Background Coronavirus disease 2019 (COVID-19) has widely spread all over the world since the beginning of 2020. It is desirable to develop automatic and accurate detection of COVID-19 using chest CT. Purpose To develop a fully automatic framework to...
Betacoronavirus Pneumonia, Viral Coronavirus Infections COVID-19 Testing Adult Community-Acquired Infections Sensitivity and Specificity Clinical Laboratory Techniques Male Retrospective Studies Middle Aged Tomography, X-Ray Computed Deep Learning Humans Female ROC Curve Artificial Intelligence Imaging, Three-Dimensional SARS-CoV-2 Pandemics Diagnosis, Differential Aged COVID-19 Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

SAEROF: an ensemble approach for large-scale drug-disease association prediction by incorporating rotation forest and sparse autoencoder deep neural network.

Scientific reports Mar 18, 2020
Drug-disease association is an important piece of information which participates in all stages of drug repositioning. Although the number of drug-disease associations identified by high-throughput technologies is increasing, the experimental methods ...
Anti-Obesity Agents Humans Area Under Curve Neural Networks, Computer ROC Curve Machine Learning Algorithms Lung Neoplasms Databases, Factual Computational Biology Computer Simulation Support Vector Machine Stomach Neoplasms Obesity Antineoplastic Agents
View on PubMed DOI

Prediction Model of Aryl Hydrocarbon Receptor Activation by a Novel QSAR Approach, DeepSnap-Deep Learning.

Molecules (Basel, Switzerland) Mar 13, 2020
The aryl hydrocarbon receptor (AhR) is a ligand-dependent transcription factor that senses environmental exogenous and endogenous ligands or xenobiotic chemicals. In particular, exposure of the liver to environmental metabolism-disrupting chemicals c...
Models, Molecular Quantitative Structure-Activity Relationship Cell Line, Tumor ROC Curve Rats Receptors, Aryl Hydrocarbon Principal Component Analysis Animals Deep Learning
View on PubMed DOI

A knowledge-driven feature learning and integration method for breast cancer diagnosis on multi-sequence MRI.

Magnetic resonance imaging Mar 12, 2020
BACKGROUND: The classification of benign versus malignant breast lesions on multi-sequence Magnetic Resonance Imaging (MRI) is a challenging task since breast lesions are heterogeneous and complex. Recently, deep learning methods have been used for b...
Humans Algorithms Female Breast Neoplasms Diagnosis, Computer-Assisted Deep Learning ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging Models, Statistical Image Interpretation, Computer-Assisted
View on PubMed DOI

Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records.

The Lancet. Digital health Mar 12, 2020
BACKGROUND: Many mortality prediction models have been developed for patients in intensive care units (ICUs); most are based on data available at ICU admission. We investigated whether machine learning methods using analyses of time-series data impro...
Humans Machine Learning Aged Male Middle Aged Risk Assessment Critical Illness Cohort Studies Intensive Care Units Hospital Mortality Data Analysis Electronic Health Records ROC Curve Algorithms Female Prognosis Area Under Curve Hospitalization Retrospective Studies Models, Biological Simplified Acute Physiology Score
View on PubMed DOI

Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.

European radiology Mar 11, 2020
BACKGROUND AND PURPOSE: Recent studies have highlighted the importance of isocitrate dehydrogenase (IDH) mutational status in stratifying biologically distinct subgroups of gliomas. This study aimed to evaluate whether MRI-based radiomic features cou...
Middle Aged ROC Curve Glioma Magnetic Resonance Imaging Predictive Value of Tests Mutation Survival Analysis Humans Female Machine Learning Isocitrate Dehydrogenase Reproducibility of Results Brain Adult Prognosis Brain Neoplasms Retrospective Studies Male
View on PubMed DOI

Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study.

European radiology Mar 11, 2020
OBJECTIVES: Pneumothorax is the most common and potentially life-threatening complication arising from percutaneous lung biopsy. We evaluated the performance of a deep learning algorithm for detection of post-biopsy pneumothorax in chest radiographs ...
Adult Sensitivity and Specificity Male Middle Aged Lung Algorithms Retrospective Studies Female Aged Radiography, Thoracic Biopsy, Needle Pneumothorax Deep Learning Cohort Studies ROC Curve Area Under Curve Radiologists Humans
View on PubMed DOI

A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis.

BMC bioinformatics Mar 11, 2020
BACKGROUND: Screening programs use mammography as primary diagnostic tool for detecting breast cancer at an early stage. The diagnosis of some lesions, such as microcalcifications, is still difficult today for radiologists. In this paper, we proposed...
Female Breast Neoplasms ROC Curve Calcinosis Mammography Humans Machine Learning Algorithms Databases, Factual Area Under Curve Breast
View on PubMed DOI

DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images.

BMC bioinformatics Mar 11, 2020
BACKGROUND: Melanoma results in the vast majority of skin cancer deaths during the last decades, even though this disease accounts for only one percent of all skin cancers' instances. The survival rates of melanoma from early to terminal stages is mo...
Skin Neoplasms Dermoscopy Humans Databases, Factual Deep Learning Melanoma ROC Curve Area Under Curve
View on PubMed DOI

Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data.

BMC bioinformatics Mar 11, 2020
BACKGROUND: Finding the tumor location in the prostate is an essential pathological step for prostate cancer diagnosis and treatment. The location of the tumor - the laterality - can be unilateral (the tumor is affecting one side of the prostate), or...
Gene Expression Regulation, Neoplastic Magnetic Resonance Imaging Humans Area Under Curve Autoantigens Machine Learning Prostatic Neoplasms Phosphoproteins Biomarkers, Tumor Prostate Ribonuclease P Male Serine-Arginine Splicing Factors ROC Curve
View on PubMed DOI
Popular Topics
Recent Journals