AIMC Topic: ROC Curve

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Predicting deleterious missense genetic variants via integrative supervised nonnegative matrix tri-factorization.

Scientific reports Dec 9, 2021
Among an assortment of genetic variations, Missense are major ones which a small subset of them may led to the upset of the protein function and ultimately end in human diseases. Various machine learning methods were declared to differentiate deleter...
Supervised Machine Learning Mutation, Missense ROC Curve Genetic Association Studies Humans Computational Biology Algorithms Systems Biology Reproducibility of Results
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Vocal cord lesions classification based on deep convolutional neural network and transfer learning.

Medical physics Dec 8, 2021
PURPOSE: Laryngoscopy, the most common diagnostic method for vocal cord lesions (VCLs), is based mainly on the visual subjective inspection of otolaryngologists. This study aimed to establish a highly objective computer-aided VCLs diagnosis system ba...
ROC Curve Area Under Curve Vocal Cords Neural Networks, Computer Machine Learning
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ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides.

Scientific reports Dec 8, 2021
Although advancing the therapeutic alternatives for treating deadly cancers has gained much attention globally, still the primary methods such as chemotherapy have significant downsides and low specificity. Most recently, Anticancer peptides (ACPs) h...
ROC Curve Computational Biology Amino Acid Sequence Chemical Phenomena Drug Discovery Antineoplastic Agents Deep Learning Humans Neural Networks, Computer Algorithms Reproducibility of Results Peptides
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An early model to predict the risk of gestational diabetes mellitus in the absence of blood examination indexes: application in primary health care centres.

BMC pregnancy and childbirth Dec 8, 2021
BACKGROUND: Gestational diabetes mellitus (GDM) is one of the critical causes of adverse perinatal outcomes. A reliable estimate of GDM in early pregnancy would facilitate intervention plans for maternal and infant health care to prevent the risk of ...
Risk Factors Adult Sensitivity and Specificity China Humans Machine Learning Pregnancy Female Pregnancy Trimester, First Diabetes, Gestational ROC Curve Primary Health Care Models, Statistical
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Optimizing hepatitis B virus screening in the United States using a simple demographics-based model.

Hepatology (Baltimore, Md.) Dec 7, 2021
BACKGROUND AND AIMS: Chronic hepatitis B (CHB) affects >290 million persons globally, and only 10% have been diagnosed, presenting a severe gap that must be addressed. We developed logistic regression (LR) and machine learning (ML; random forest) mod...
Mass Screening Hepatitis B, Chronic Patient Selection Hispanic or Latino Logistic Models Nutrition Surveys United States Demography Black People Birth Cohort Epidemiological Models Humans Sex Factors Machine Learning White People Female Black or African American Male Asian ROC Curve
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CRNNTL: Convolutional Recurrent Neural Network and Transfer Learning for QSAR Modeling in Organic Drug and Material Discovery.

Molecules (Basel, Switzerland) Nov 30, 2021
Molecular latent representations, derived from autoencoders (AEs), have been widely used for drug or material discovery over the past couple of years. In particular, a variety of machine learning methods based on latent representations have shown exc...
Isomerism Organic Chemicals Databases as Topic Models, Theoretical Neural Networks, Computer Binding Sites Quantitative Structure-Activity Relationship Regression Analysis Drug Discovery Area Under Curve ROC Curve
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Using k-mer embeddings learned from a Skip-gram based neural network for building a cross-species DNA N6-methyladenine site prediction model.

Plant molecular biology Nov 29, 2021
This study used k-mer embeddings as effective feature to identify DNA N6-Methyladenine sites in plant genomes and obtained improved performance without substantial effort in feature extraction, combination and selection. Identification of DNA N6-meth...
Neural Networks, Computer Algorithms Surveys and Questionnaires ROC Curve Base Sequence Adenine DNA, Plant Databases, Genetic Models, Biological Plants Nucleotides
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Mental Stress Classification Based on a Support Vector Machine and Naive Bayes Using Electrocardiogram Signals.

Sensors (Basel, Switzerland) Nov 27, 2021
Examining mental health is crucial for preventing mental illnesses such as depression. This study presents a method for classifying electrocardiogram (ECG) data into four emotional states according to the stress levels using one-against-all and naive...
Electrocardiography Support Vector Machine Bayes Theorem Humans Algorithms ROC Curve
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Artificial intelligence modelling in differentiating core biopsies of fibroadenoma from phyllodes tumor.

Laboratory investigation; a journal of technical methods and pathology Nov 24, 2021
Breast fibroepithelial lesions (FEL) are biphasic tumors which consist of benign fibroadenomas (FAs) and the rarer phyllodes tumors (PTs). FAs and PTs have overlapping features, but have different clinical management, which makes correct core biopsy ...
Biopsy, Large-Core Needle Fibroadenoma Phyllodes Tumor Breast Neoplasms ROC Curve Diagnosis, Differential Humans Breast Neural Networks, Computer Artificial Intelligence Female
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Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.

BMC cancer Nov 24, 2021
BACKGROUND: Radiomics may provide more objective and accurate predictions for extrahepatic cholangiocarcinoma (ECC). In this study, we developed radiomics models based on magnetic resonance imaging (MRI) and machine learning to preoperatively predict...
Humans Machine Learning Algorithms Retrospective Studies Female Adenocarcinoma Lymphatic Metastasis Magnetic Resonance Imaging Predictive Value of Tests Area Under Curve Neoplasm Grading Bile Duct Neoplasms Cholangiocarcinoma Sensitivity and Specificity Male Middle Aged ROC Curve Aged Aged, 80 and over Adult
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