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ROC Curve

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Construction and Validation of a Lung Cancer Diagnostic Model Based on 6-Gene Methylation Frequency in Blood, Clinical Features, and Serum Tumor Markers.

Computational and mathematical methods in medicine Jun 26, 2021
Lung cancer has a high mortality rate. Promoting early diagnosis and screening of lung cancer is the most effective way to enhance the survival rate of lung cancer patients. Through computer technology, a comprehensive evaluation of genetic testing r...
Middle Aged Lung Neoplasms Humans Computational Biology Case-Control Studies Retrospective Studies Aged, 80 and over Support Vector Machine Diagnosis, Computer-Assisted Female DNA Methylation Adult ROC Curve Aged Early Detection of Cancer Biomarkers, Tumor Male
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Risk prediction for delayed clearance of high-dose methotrexate in pediatric hematological malignancies by machine learning.

International journal of hematology Jun 25, 2021
This study aimed to establish a predictive model to identify children with hematologic malignancy at high risk for delayed clearance of high-dose methotrexate (HD-MTX) based on machine learning. A total of 205 patients were recruited. Five variables ...
Alleles Antimetabolites, Antineoplastic Pharmacogenomic Testing Polymorphism, Single Nucleotide Genotype Nomograms Methotrexate Humans Hematologic Neoplasms Machine Learning Risk Assessment Biomarkers Child Reproducibility of Results ROC Curve
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A multi-conformational virtual screening approach based on machine learning targeting PI3Kγ.

Molecular diversity Jun 23, 2021
Nowadays, more and more attention has been attracted to develop selective PI3Kγ inhibitors, but the unique structural features of PI3Kγ protein make it a very big challenge. In the present study, a virtual screening strategy based on machine learning...
Machine Learning Molecular Docking Simulation Drug Discovery ROC Curve Protein Binding Structure-Activity Relationship Molecular Conformation Models, Molecular Binding Sites Molecular Structure Phosphoinositide-3 Kinase Inhibitors Molecular Dynamics Simulation Databases, Pharmaceutical Ligands Class Ib Phosphatidylinositol 3-Kinase
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Discovery of novel DGAT1 inhibitors by combination of machine learning methods, pharmacophore model and 3D-QSAR model.

Molecular diversity Jun 23, 2021
DGAT1 plays a crucial controlling role in triglyceride biosynthetic pathways, which makes it an attractive therapeutic target for obesity. Thus, development of DGAT1 inhibitors with novel chemical scaffolds is desired and important in the drug discov...
Diacylglycerol O-Acyltransferase Cheminformatics Molecular Dynamics Simulation Enzyme Inhibitors Humans Databases, Chemical Machine Learning Quantitative Structure-Activity Relationship Algorithms Reproducibility of Results Molecular Docking Simulation Drug Discovery ROC Curve Models, Molecular Molecular Structure
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Comparison of Radiomic Models Based on Different Machine Learning Methods for Predicting Intracerebral Hemorrhage Expansion.

Clinical neuroradiology Jun 22, 2021
PURPOSE: The objective of this study was to predict hematoma expansion (HE) by radiomic models based on different machine learning methods and determine the best radiomic model through the comparison.
Retrospective Studies ROC Curve Cerebral Hemorrhage Bayes Theorem Humans Machine Learning
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Deep learning for classification of pediatric chest radiographs by WHO's standardized methodology.

PloS one Jun 21, 2021
BACKGROUND: The World Health Organization (WHO)-defined radiological pneumonia is a preferred endpoint in pneumococcal vaccine efficacy and effectiveness studies in children. Automating the WHO methodology may support more widespread application of t...
Infant Radiography, Thoracic Deep Learning Humans Image Interpretation, Computer-Assisted ROC Curve Female Datasets as Topic Models, Statistical Reproducibility of Results Observer Variation Pneumonia Male World Health Organization
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Machine learning enhances the performance of short and long-term mortality prediction model in non-ST-segment elevation myocardial infarction.

Scientific reports Jun 18, 2021
Machine learning (ML) has been suggested to improve the performance of prediction models. Nevertheless, research on predicting the risk in patients with acute myocardial infarction (AMI) has been limited and showed inconsistency in the performance of...
ROC Curve Models, Theoretical Non-ST Elevated Myocardial Infarction Area Under Curve Middle Aged Risk Assessment Time Factors Hospital Mortality Humans Machine Learning Reproducibility of Results Risk Factors Aged
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A new deep learning algorithm of 12-lead electrocardiogram for identifying atrial fibrillation during sinus rhythm.

Scientific reports Jun 17, 2021
Atrial fibrillation (AF) is the most prevalent arrhythmia and is associated with increased morbidity and mortality. Its early detection is challenging because of the low detection yield of conventional methods. We aimed to develop a deep learning-bas...
Humans Aged Male Middle Aged Deep Learning ROC Curve Neural Networks, Computer Artificial Intelligence Algorithms Female Sinoatrial Node Electrocardiography Atrial Fibrillation Probability Models, Cardiovascular
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Machine learning models to select potential inhibitors of acetylcholinesterase activity from SistematX: a natural products database.

Molecular diversity Jun 16, 2021
Alzheimer's disease is the most common form of dementia, representing 60-70% of dementia cases. The enzyme acetylcholinesterase (AChE) cleaves the ester bonds in acetylcholine and plays an important role in the termination of acetylcholine activity a...
Molecular Docking Simulation Drug Discovery ROC Curve Biological Products Humans Structure-Activity Relationship Acetylcholinesterase Machine Learning Area Under Curve Cholinesterase Inhibitors Algorithms Models, Molecular Cheminformatics Workflow Databases, Pharmaceutical Molecular Dynamics Simulation
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Application of deep learning in the detection of breast lesions with four different breast densities.

Cancer medicine Jun 16, 2021
OBJECTIVE: This retrospective study evaluated the model from populations with different breast densities and showed the model's performance on malignancy prediction.
Humans Retrospective Studies Female Aged Adult ROC Curve Triple Negative Breast Neoplasms Calcinosis Mammography Sensitivity and Specificity Breast Density Breast Neoplasms Middle Aged Deep Learning
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