AIMC Topic: ROC Curve

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Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection.

Journal of translational medicine Jun 30, 2021
BACKGROUND: Surgical resection is the only potentially curative treatment for pancreatic ductal adenocarcinoma (PDAC) and the survival of patients after radical resection is closely related to relapse. We aimed to develop models to predict the risk o...
ROC Curve Adenocarcinoma Support Vector Machine Recurrence Humans Machine Learning
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Prediction of preterm birth in nulliparous women using logistic regression and machine learning.

PloS one Jun 30, 2021
OBJECTIVE: To predict preterm birth in nulliparous women using logistic regression and machine learning.
Pregnancy Female Premature Birth Parity Humans Machine Learning Retrospective Studies Logistic Models Young Adult Area Under Curve Adult Pregnancy Trimester, First ROC Curve Pregnancy Trimester, Second Ontario
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Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study.

The Lancet. Digital health Jun 29, 2021
BACKGROUND: Early detection of postoperative complications, including organ failure, is pivotal in the initiation of targeted treatment strategies aimed at attenuating organ damage. In an era of increasing health-care costs and limited financial reso...
Postoperative Period Humans Biomedical Technology Neural Networks, Computer Female Data Management Adolescent Male Data Analysis Risk Factors Area Under Curve ROC Curve Middle Aged Forecasting Aged Models, Biological Risk Assessment Databases, Factual Adult Postoperative Complications Retrospective Studies
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Non-invasive thyroid detection based on electroglottogram signal using machine learning classifiers.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Jun 27, 2021
Thyroid is a butterfly shaped gland located in the neck region. Hormones are secreted by the thyroid gland that is responsible for various functions that maintain metabolism of the body. The variance in secretion of the hormones causes disorders such...
Humans Machine Learning Algorithms Thyroid Gland ROC Curve Support Vector Machine Bayes Theorem
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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...
Early Detection of Cancer Middle Aged Case-Control Studies Lung Neoplasms Aged, 80 and over Humans Diagnosis, Computer-Assisted Computational Biology Adult Retrospective Studies ROC Curve Support Vector Machine Biomarkers, Tumor Female DNA Methylation Male Aged
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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 ...
Risk Assessment Child ROC Curve Polymorphism, Single Nucleotide Machine Learning Biomarkers Reproducibility of Results Hematologic Neoplasms Antimetabolites, Antineoplastic Pharmacogenomic Testing Genotype Nomograms Methotrexate Alleles Humans
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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 Molecular Structure Binding Sites Molecular Dynamics Simulation Phosphoinositide-3 Kinase Inhibitors Ligands Databases, Pharmaceutical Molecular Conformation Class Ib Phosphatidylinositol 3-Kinase ROC Curve Protein Binding Structure-Activity Relationship Models, Molecular
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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...
Molecular Structure Humans Molecular Dynamics Simulation Machine Learning Enzyme Inhibitors Molecular Docking Simulation Quantitative Structure-Activity Relationship Algorithms Databases, Chemical Drug Discovery Diacylglycerol O-Acyltransferase Reproducibility of Results ROC Curve Cheminformatics Models, Molecular
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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.
Machine Learning Retrospective Studies ROC Curve Cerebral Hemorrhage Bayes Theorem Humans
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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...
Pneumonia Image Interpretation, Computer-Assisted Datasets as Topic Observer Variation World Health Organization Radiography, Thoracic Infant Deep Learning ROC Curve Models, Statistical Humans Female Reproducibility of Results Male
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