AIMC Topic: Area Under Curve

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Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis.

European radiology Jun 30, 2020
OBJECTIVES: The aim of this study was to systematically review the literature and perform a meta-analysis of machine learning (ML) diagnostic accuracy studies focused on clinically significant prostate cancer (csPCa) identification on MRI.
Prostatectomy Area Under Curve Prostatic Neoplasms Biopsy Reference Standards Humans Prevalence Diagnosis, Computer-Assisted Machine Learning ROC Curve Algorithms Magnetic Resonance Imaging Male
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Machine learning-based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation.

European radiology Jun 26, 2020
OBJECTIVE: To compare the CT texture feature reproducibility of 2D and 3D segmentations and their machine learning (ML)-based classifications for predicting human papilloma virus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC).
Humans Machine Learning Female Papillomavirus Infections Algorithms Squamous Cell Carcinoma of Head and Neck Reproducibility of Results Observer Variation Diagnosis, Differential Retrospective Studies Head and Neck Neoplasms Alphapapillomavirus Area Under Curve Regression Analysis Male Tomography, X-Ray Computed Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Supervised Machine Learning Algorithms for Bioelectromagnetics: Prediction Models and Feature Selection Techniques Using Data from Weak Radiofrequency Radiation Effect on Human and Animals Cells.

International journal of environmental research and public health Jun 26, 2020
The emergence of new technologies to incorporate and analyze data with high-performance computing has expanded our capability to accurately predict any incident. Supervised Machine learning (ML) can be utilized for a fast and consistent prediction, a...
Humans Algorithms Cells, Cultured Supervised Machine Learning Radio Waves Animals Area Under Curve
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Single-Cell Classification Using Mass Spectrometry through Interpretable Machine Learning.

Analytical chemistry Jun 25, 2020
The brain consists of organized ensembles of cells that exhibit distinct morphologies, cellular connectivity, and dynamic biochemistries that control the executive functions of an organism. However, the relationships between chemical heterogeneity, c...
Area Under Curve Cerebellum Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Hippocampus Single-Cell Analysis Rats Mass Spectrometry Principal Component Analysis Machine Learning Animals ROC Curve
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DEEPSMP: A deep learning model for predicting the ectodomain shedding events of membrane proteins.

Journal of bioinformatics and computational biology Jun 23, 2020
Membrane proteins play essential roles in modern medicine. In recent studies, some membrane proteins involved in ectodomain shedding events have been reported as the potential drug targets and biomarkers of some serious diseases. However, there are f...
Databases, Protein Area Under Curve Neural Networks, Computer Models, Molecular Protein Domains Reproducibility of Results Sensitivity and Specificity Deep Learning Membrane Proteins
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On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals.

PloS one Jun 23, 2020
We present performance results concerning the validation for anxiety level detection based on trained mathematical models using supervised machine learning techniques. The model training is based on biosignals acquired in a randomized controlled tria...
Randomized Controlled Trials as Topic Area Under Curve Humans Spiders Animals Machine Learning Telemedicine Young Adult Adolescent Phobic Disorders Adult ROC Curve Electrocardiography
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Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.

International journal of computer assisted radiology and surgery Jun 16, 2020
PURPOSE: Neoadjuvant chemotherapy (NAC) aims to minimize the tumor size before surgery. Predicting response to NAC could reduce toxicity and delays to effective intervention. Computational analysis of dynamic contrast-enhanced magnetic resonance imag...
Neoadjuvant Therapy Contrast Media Magnetic Resonance Imaging Area Under Curve Deep Learning ROC Curve Image Processing, Computer-Assisted Treatment Outcome Chemotherapy, Adjuvant Humans Neural Networks, Computer Retrospective Studies Female Middle Aged Antineoplastic Agents Diagnosis, Computer-Assisted Adult Breast Neoplasms
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Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.

European radiology Jun 10, 2020
OBJECTIVE: To evaluate machine learning-based classifiers in detecting clinically significant prostate cancer (PCa) with Prostate Imaging Reporting and Data System (PI-RADS) score 3 lesions.
Reproducibility of Results Aged Aged, 80 and over Male Middle Aged Humans Machine Learning Retrospective Studies Prostate-Specific Antigen Prostate Validation Studies as Topic Image-Guided Biopsy Decision Trees Ultrasonography Unnecessary Procedures ROC Curve Logistic Models Multiparametric Magnetic Resonance Imaging Area Under Curve Support Vector Machine Radiography Prostatic Neoplasms
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Modest Clostridiodes difficile infection prediction using machine learning models in a tertiary care hospital.

Diagnostic microbiology and infectious disease Jun 8, 2020
Previous studies have shown promising results of machine learning (ML) models for predicting health outcomes. We develop and test ML models for predicting Clostridioides difficile infection (CDI) in hospitalized patients. This is a retrospective coho...
Middle Aged Diarrhea Clostridioides difficile Machine Learning Retrospective Studies ROC Curve Forecasting Area Under Curve Female Logistic Models Anti-Bacterial Agents Bayes Theorem Aged Humans Tertiary Care Centers Male Clostridium Infections
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An improved clear cell renal cell carcinoma stage prediction model based on gene sets.

BMC bioinformatics Jun 8, 2020
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma and accounts for cancer-related deaths. Survival rates are very low when the tumor is discovered in the late-stage. Thus, developing an efficient s...
Humans Area Under Curve RNA Neoplasm Staging Machine Learning Kidney Neoplasms Carcinoma, Renal Cell Female ROC Curve Logistic Models
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