AIMC Topic: Area Under Curve

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Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks.

Clinical journal of the American Society of Nephrology : CJASN Sep 16, 2020
BACKGROUND AND OBJECTIVES: Immunohistopathology is an essential technique in the diagnostic workflow of a kidney biopsy. Deep learning is an effective tool in the elaboration of medical imaging. We wanted to evaluate the role of a convolutional neura...
Immunoglobulin kappa-Chains Immunoglobulin lambda-Chains Fibrinogen Immunoglobulins Complement C3 Fluorescent Antibody Technique, Direct Complement C1q Adult Male Middle Aged ROC Curve Image Processing, Computer-Assisted Kidney Kidney Diseases Area Under Curve Biopsy Humans Neural Networks, Computer Female Aged
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Impact of Gene Biomarker Discovery Tools Based on Protein-Protein Interaction and Machine Learning on Performance of Artificial Intelligence Models in Predicting Clinical Stages of Breast Cancer.

Interdisciplinary sciences, computational life sciences Sep 10, 2020
Breast cancer, as one of the most common diseases threatening the women's life, has attracted serious attention of the clinical and biomedical researchers worldwide. The genome-based studies along with their registered GEO datasets are frequent in th...
Humans Machine Learning Female Breast Neoplasms Models, Genetic Area Under Curve Genetic Markers
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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...
Quality Improvement Chemoradiotherapy Radiotherapy Standard of Care ROC Curve Models, Theoretical Area Under Curve Emergency Service, Hospital Ambulatory Care Machine Learning Forecasting Prospective Studies Female Hospitalization Aged Male Middle Aged Risk Assessment Neoplasms Humans
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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...
Humans Aged Models, Theoretical Machine Learning Genetics Male Phenotype Clinical Decision-Making Area Under Curve Middle Aged Female Disease Progression Macular Degeneration Risk Factors Genotype Life Style Retinal Drusen
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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.
Neoadjuvant Therapy Magnetic Resonance Imaging Area Under Curve Clinical Trials as Topic Female Humans Neural Networks, Computer Breast Neoplasms Databases, Factual Image Processing, Computer-Assisted Retrospective Studies Treatment Outcome
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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.
Humans ROC Curve Cone-Beam Computed Tomography Image Processing, Computer-Assisted Computational Biology Logistic Models Machine Learning Aged Aged, 80 and over Male Middle Aged Prostate-Specific Antigen Neoplasm Grading Adenocarcinoma Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Area Under Curve Prostatic Neoplasms Neoplasm Staging
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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 ...
Male Prostate Deep Learning Biopsy Cohort Studies Staining and Labeling Humans ROC Curve Computational Biology Image Processing, Computer-Assisted Area Under Curve Color Prostatic Neoplasms
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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.
Electronic Health Records Female Male Middle Aged Risk Assessment Humans Neural Networks, Computer Prognosis Area Under Curve Hepatitis C, Chronic Sustained Virologic Response Veterans Health Services Chronic Disease Indicators Deep Learning Incidence Liver Neoplasms Carcinoma, Hepatocellular Liver Cirrhosis
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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.
Neoplasm Grading Humans Image Interpretation, Computer-Assisted Multiparametric Magnetic Resonance Imaging Middle Aged Preoperative Care Machine Learning ROC Curve Meningioma Retrospective Studies Predictive Value of Tests Meningeal Neoplasms Area Under Curve Female Reproducibility of Results Male
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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...
Species Specificity ROC Curve Humans Lysine Proteome Succinic Acid Machine Learning Proteins Acylation Algorithms Area Under Curve Neoplasms Amino Acid Sequence
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