AIMC Topic:
ROC Curve

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Applications of machine learning techniques to predict filariasis using socio-economic factors.

Epidemiology and infection Sep 2, 2019
Filariasis is one of the major public health concerns in India. Approximately 600 million people spread across 250 districts of India are at risk of filariasis. To predict this disease, a pilot scale study was carried out in 30 villages of Karimnagar...
Socioeconomic Factors Humans Models, Statistical Epidemiologic Methods Machine Learning Filariasis ROC Curve India
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A comparison of machine learning and logistic regression in modelling the association of body condition score and submission rate.

Preventive veterinary medicine Aug 31, 2019
The effect of body condition score (BCS) on reproductive outcomes is complex, dynamic and non-linear with interaction and confounding. The flexibility inherent in machine learning algorithms makes them attractive for analysing complex data. This stud...
Cattle ROC Curve Logistic Models Decision Trees New Zealand Machine Learning Models, Biological Algorithms Lactation Breeding Female Reproduction Dairying Animals Body Constitution
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CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.

International journal of molecular sciences Aug 30, 2019
It is well known that the unusual expression of long non-coding RNAs (lncRNAs) is closely related to the physiological and pathological processes of diseases. Therefore, inferring the potential lncRNA-disease associations are helpful for understandin...
ROC Curve RNA, Long Noncoding Area Under Curve Humans Neural Networks, Computer Algorithms Neoplasms
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Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network.

European radiology Aug 29, 2019
OBJECTIVE: To present a deep learning-based approach for semi-automatic prostate cancer classification based on multi-parametric magnetic resonance (MR) imaging using a 3D convolutional neural network (CNN).
Sensitivity and Specificity Male Deep Learning ROC Curve Area Under Curve Prostatic Neoplasms Biopsy Diffusion Magnetic Resonance Imaging Humans Multiparametric Magnetic Resonance Imaging
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Diagnostic Performance of Machine Learning Based CT-FFR in Detecting Ischemia in Myocardial Bridging and Concomitant Proximal Atherosclerotic Disease.

The Canadian journal of cardiology Aug 27, 2019
BACKGROUND: The diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) in detecting ischemia in myocardial bridging (MB) has not been investigated to date.
ROC Curve Female Coronary Angiography Humans Computed Tomography Angiography Male Atherosclerosis Coronary Stenosis Machine Learning Middle Aged Multidetector Computed Tomography Fractional Flow Reserve, Myocardial Retrospective Studies Severity of Illness Index Myocardial Bridging
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Prediction of future gastric cancer risk using a machine learning algorithm and comprehensive medical check-up data: A case-control study.

Scientific reports Aug 27, 2019
A comprehensive screening method using machine learning and many factors (biological characteristics, Helicobacter pylori infection status, endoscopic findings and blood test results), accumulated daily as data in hospitals, could improve the accurac...
Male Middle Aged Endoscopy, Gastrointestinal Risk Factors Case-Control Studies Logistic Models ROC Curve Humans Longitudinal Studies Aged Machine Learning Area Under Curve Adult Female Bayes Theorem Stomach Neoplasms
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FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou's Five-Step Rule.

International journal of molecular sciences Aug 26, 2019
DNA-binding proteins play an important role in cell metabolism. In biological laboratories, the detection methods of DNA-binding proteins includes yeast one-hybrid methods, bacterial singles and X-ray crystallography methods and others, but these met...
DNA-Binding Proteins Sensitivity and Specificity ROC Curve Computational Biology Regression Analysis Machine Learning Reproducibility of Results
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Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network.

Endoscopy Aug 23, 2019
BACKGROUND: Visual inspection, lesion detection, and differentiation between malignant and benign features are key aspects of an endoscopist's role. The use of machine learning for the recognition and differentiation of images has been increasingly a...
Humans Early Detection of Cancer Endoscopy Neural Networks, Computer Diagnosis, Differential Databases, Factual Deep Learning Neoplasm Staging Reproducibility of Results ROC Curve Neoplasm Grading Stomach Neoplasms Image Processing, Computer-Assisted
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Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA.

BMC cancer Aug 23, 2019
BACKGROUND: Blood-based methods using cell-free DNA (cfDNA) are under development as an alternative to existing screening tests. However, early-stage detection of cancer using tumor-derived cfDNA has proven challenging because of the small proportion...
Reproducibility of Results Aged Aged, 80 and over Colorectal Neoplasms Humans Machine Learning Female Neoplasm Staging Genome, Human Circulating Tumor DNA Transcriptome Biomarkers, Tumor ROC Curve Male Genomics Middle Aged Computational Biology Gene Expression Profiling
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Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images.

American journal of ophthalmology Aug 22, 2019
PURPOSE: To develop and test deep learning classifiers that detect gonioscopic angle closure and primary angle closure disease (PACD) based on fully automated analysis of anterior segment OCT (AS-OCT) images.
Area Under Curve Tomography, Optical Coherence Anterior Eye Segment Glaucoma, Angle-Closure Male Middle Aged Deep Learning ROC Curve Gonioscopy Humans Neural Networks, Computer Prospective Studies Female Aged Aged, 80 and over Intraocular Pressure
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