AI Medical Compendium Topic:
Area Under Curve

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System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning-Directed Clinical Evaluations During Radiation and Chemoradiation.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Sep 4, 2020
PURPOSE: Patients undergoing outpatient radiotherapy (RT) or chemoradiation (CRT) frequently require acute care (emergency department evaluation or hospitalization). Machine learning (ML) may guide interventions to reduce this risk. There are limited...
Emergency Service, Hospital Ambulatory Care Quality Improvement Chemoradiotherapy Radiotherapy Risk Assessment Neoplasms ROC Curve Models, Theoretical Area Under Curve Standard of Care Humans Machine Learning Forecasting Prospective Studies Female Hospitalization Aged Male Middle Aged
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Predicting Progression to Advanced Age-Related Macular Degeneration from Clinical, Genetic, and Lifestyle Factors Using Machine Learning.

Ophthalmology Sep 2, 2020
PURPOSE: Current prediction models for advanced age-related macular degeneration (AMD) are based on a restrictive set of risk factors. The objective of this study was to develop a comprehensive prediction model applying a machine learning algorithm a...
Middle Aged Disease Progression Genotype Models, Theoretical Area Under Curve Clinical Decision-Making Macular Degeneration Female Humans Life Style Risk Factors Machine Learning Retinal Drusen Aged Phenotype Genetics Male
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A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database.

Magnetic resonance imaging Sep 2, 2020
PURPOSE: To apply our convolutional neural network (CNN) algorithm to predict neoadjuvant chemotherapy (NAC) response using the I-SPY TRIAL breast MRI dataset.
Clinical Trials as Topic Image Processing, Computer-Assisted Treatment Outcome Neoadjuvant Therapy Humans Magnetic Resonance Imaging Area Under Curve Neural Networks, Computer Databases, Factual Retrospective Studies Female Breast Neoplasms
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Cone-beam computed tomography-based radiomics in prostate cancer: a mono-institutional study.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Sep 1, 2020
PURPOSE: The purpose of the reported study was to investigate the value of cone-beam computed tomography (CBCT)-based radiomics for risk stratification and prediction of biochemical relapse in prostate cancer.
Male Middle Aged ROC Curve Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Machine Learning Aged Aged, 80 and over Neoplasm Staging Prostate-Specific Antigen Neoplasm Grading Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Computational Biology Logistic Models Adenocarcinoma Area Under Curve Prostatic Neoplasms
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Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer.

Scientific reports Sep 1, 2020
Algorithms can improve the objectivity and efficiency of histopathologic slide analysis. In this paper, we investigated the impact of scanning systems (scanners) and cycle-GAN-based normalization on algorithm performance, by comparing different deep ...
Prostatic Neoplasms Prostate Biopsy Humans Male Deep Learning Cohort Studies ROC Curve Image Processing, Computer-Assisted Staining and Labeling Computational Biology Area Under Curve Color
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Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients With Hepatitis C Cirrhosis.

JAMA network open Sep 1, 2020
IMPORTANCE: Deep learning, a family of machine learning models that use artificial neural networks, has achieved great success at predicting outcomes in nonmedical domains.
Prognosis Electronic Health Records Female Male Middle Aged Humans Neural Networks, Computer Liver Cirrhosis Area Under Curve Hepatitis C, Chronic Risk Assessment Sustained Virologic Response Deep Learning Veterans Health Services Incidence Chronic Disease Indicators Liver Neoplasms Carcinoma, Hepatocellular
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Machine learning-based radiomics analysis in predicting the meningioma grade using multiparametric MRI.

European journal of radiology Aug 28, 2020
PURPOSE: To investigate the prediction performance of radiomic models based on multiparametric MRI in predicting the meningioma grade.
Meningeal Neoplasms Multiparametric Magnetic Resonance Imaging Area Under Curve Neoplasm Grading Image Interpretation, Computer-Assisted Preoperative Care Meningioma Reproducibility of Results Humans Male Machine Learning Middle Aged Retrospective Studies ROC Curve Female Predictive Value of Tests
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HybridSucc: A Hybrid-learning Architecture for General and Species-specific Succinylation Site Prediction.

Genomics, proteomics & bioinformatics Aug 28, 2020
As an important protein acylation modification, lysine succinylation (Ksucc) is involved in diverse biological processes, and participates in human tumorigenesis. Here, we collected 26,243 non-redundant known Ksucc sites from 13 species as the benchm...
Area Under Curve Amino Acid Sequence Species Specificity Lysine Algorithms Succinic Acid Acylation Neoplasms ROC Curve Humans Proteome Machine Learning Proteins
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Computer-Aided System for the Detection of Multicategory Pulmonary Tuberculosis in Radiographs.

Journal of healthcare engineering Aug 24, 2020
The early screening and diagnosis of tuberculosis plays an important role in the control and treatment of tuberculosis infections. In this paper, an integrated computer-aided system based on deep learning is proposed for the detection of multiple cat...
Area Under Curve Sensitivity and Specificity Humans Radiography, Thoracic Diagnosis, Computer-Assisted Neural Networks, Computer Equipment Design Thorax Deep Learning Algorithms Radiographic Image Interpretation, Computer-Assisted X-Rays Computer Systems Databases, Factual Tuberculosis, Pulmonary ROC Curve Reproducibility of Results False Positive Reactions
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Machine learning models predicting multidrug resistant urinary tract infections using "DsaaS".

BMC bioinformatics Aug 21, 2020
BACKGROUND: The scope of this work is to build a Machine Learning model able to predict patients risk to contract a multidrug resistant urinary tract infection (MDR UTI) after hospitalization. To achieve this goal, we used different popular Machine L...
Algorithms Female Aged Male Drug Resistance, Multiple, Bacterial Urinary Tract Infections ROC Curve Middle Aged Support Vector Machine Models, Biological Area Under Curve Italy Humans Neural Networks, Computer Machine Learning
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