AIMC Topic: ROC Curve

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Predictive validity of radiographic signs of complete discoid lateral meniscus in children using machine learning techniques.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Jan 3, 2020
The diagnostic utility of radiographic signs of complete discoid lateral meniscus remains controversial. This study aimed to investigate the diagnostic accuracy and determine which sign is most reliably detects the presence of a complete discoid late...
Humans Machine Learning Retrospective Studies ROC Curve Logistic Models Menisci, Tibial Tibial Meniscus Injuries Female Male Adolescent Child
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Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound.

European radiology Jan 3, 2020
OBJECTIVES: We aimed to establish and validate an artificial intelligence-based radiomics strategy for predicting personalized responses of hepatocellular carcinoma (HCC) to first transarterial chemoembolization (TACE) session by quantitatively analy...
Chemoembolization, Therapeutic Aged ROC Curve Liver Neoplasms Humans Aged, 80 and over Male Carcinoma, Hepatocellular Artificial Intelligence Young Adult Middle Aged Retrospective Studies Adult Contrast Media Adolescent Female Ultrasonography
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A practical model for the identification of congenital cataracts using machine learning.

EBioMedicine Jan 3, 2020
BACKGROUND: Approximately 1 in 33 newborns is affected by congenital anomalies worldwide. We aimed to develop a practical model for identifying infants with a high risk of congenital cataracts (CCs), which is the leading cause of avoidable childhood ...
Humans Machine Learning Male Case-Control Studies Child, Preschool ROC Curve Algorithms Female Reproducibility of Results Risk Factors Area Under Curve Cataract Models, Biological Inheritance Patterns
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Using transfer learning from prior reference knowledge to improve the clustering of single-cell RNA-Seq data.

Scientific reports Dec 30, 2019
In many research areas scientists are interested in clustering objects within small datasets while making use of prior knowledge from large reference datasets. We propose a method to apply the machine learning concept of transfer learning to unsuperv...
High-Throughput Nucleotide Sequencing Single-Cell Analysis Computational Biology Sequence Analysis, RNA Cluster Analysis Reproducibility of Results Gene Expression Profiling Humans Transcriptome Machine Learning ROC Curve Algorithms
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Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network.

Journal of gastroenterology and hepatology Dec 27, 2019
BACKGROUND AND AIM: Detecting blood content in the gastrointestinal tract is one of the crucial applications of capsule endoscopy (CE). The suspected blood indicator (SBI) is a conventional tool used to automatically tag images depicting possible ble...
Intestine, Small Blood Deep Learning ROC Curve Area Under Curve Capsule Endoscopy Humans Neural Networks, Computer Retrospective Studies Sensitivity and Specificity
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Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.

Computer methods and programs in biomedicine Dec 27, 2019
BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector machine and random forest on the occurrence of anti-tuberculosis drug-induced hepatotoxicity.
Antitubercular Agents Aged, 80 and over Tuberculosis Gene Frequency Adult Female Chemical and Drug Induced Liver Injury Middle Aged Polymorphism, Genetic Humans Genotype Sensitivity and Specificity Reproducibility of Results Drug Discovery Neural Networks, Computer Support Vector Machine Male Risk Factors ROC Curve Machine Learning Liver Aged Genomics Taiwan
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Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter.

BMC genomics Dec 27, 2019
BACKGROUND: Identification of protein-protein interactions (PPIs) is crucial for understanding biological processes and investigating the cellular functions of genes. Self-interacting proteins (SIPs) are those in which more than two identical protein...
Support Vector Machine Proteins Databases, Protein Principal Component Analysis Area Under Curve Saccharomyces cerevisiae Saccharomyces cerevisiae Proteins Humans ROC Curve Protein Interaction Maps
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A computational method to predict topologically associating domain boundaries combining histone Marks and sequence information.

BMC genomics Dec 27, 2019
BACKGROUND: The three-dimensional (3D) structure of chromatins plays significant roles during cell differentiation and development. Hi-C and other 3C-based technologies allow us to look deep into the chromatin architectures. Many studies have suggest...
Neural Networks, Computer Histones Chromatin Algorithms Histone Code ROC Curve Protein Binding Area Under Curve
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iProDNA-CapsNet: identifying protein-DNA binding residues using capsule neural networks.

BMC bioinformatics Dec 27, 2019
BACKGROUND: Since protein-DNA interactions are highly essential to diverse biological events, accurately positioning the location of the DNA-binding residues is necessary. This biological issue, however, is currently a challenging task in the age of ...
Neural Networks, Computer Amino Acid Sequence Software Position-Specific Scoring Matrices Algorithms Reproducibility of Results ROC Curve Humans DNA Amino Acids DNA-Binding Proteins
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IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning.

BMC bioinformatics Dec 27, 2019
BACKGROUND: Viral infectious diseases are the serious threat for human health. The receptor-binding is the first step for the viral infection of hosts. To more effectively treat human viral infectious diseases, the hidden virus-receptor interactions ...
Least-Squares Analysis Supervised Machine Learning Viruses Receptors, Virus Software Algorithms Reproducibility of Results ROC Curve Humans
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