AIMC Topic:
ROC Curve

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Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging.

Magnetic resonance imaging Oct 10, 2020
PURPOSE: We aimed to evaluate deep learning approach with convolutional neural networks (CNNs) to discriminate between benign and malignant lesions on maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging (MRI).
Breast ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging Area Under Curve Humans Retrospective Studies Female Deep Learning
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Development and evaluation of an artificial intelligence system for COVID-19 diagnosis.

Nature communications Oct 9, 2020
Early detection of COVID-19 based on chest CT enables timely treatment of patients and helps control the spread of the disease. We proposed an artificial intelligence (AI) system for rapid COVID-19 detection and performed extensive statistical analys...
Pandemics COVID-19 Tomography, X-Ray Computed Female SARS-CoV-2 Aged Aged, 80 and over Young Adult Humans Artificial Intelligence Betacoronavirus Pneumonia, Viral ROC Curve Diagnosis, Differential Adult Pneumonia Coronavirus Infections Male Middle Aged Deep Learning
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Identification of exacerbation risk in patients with liver dysfunction using machine learning algorithms.

PloS one Oct 9, 2020
The prediction of the liver failure (LF) and its proper diagnosis would lead to a reduction in the complications of the disease and prevents the progress of the disease. To improve the treatment of LF patients and reduce the cost of treatment, we bui...
International Normalized Ratio Risk Factors Humans Male Bilirubin ROC Curve Machine Learning Liver Failure Area Under Curve Female Creatine
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MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer.

EBioMedicine Oct 8, 2020
BACKGROUND: To use clinical and MRI radiomic features coupled with machine learning to assess HER2 expression level and predict pathologic response (pCR) in HER2 overexpressing breast cancer patients receiving neoadjuvant chemotherapy (NAC).
Gene Expression Receptor, ErbB-2 Image Processing, Computer-Assisted Neoadjuvant Therapy Magnetic Resonance Imaging Humans Machine Learning Biomarkers Breast Neoplasms Middle Aged Female ROC Curve Aged Imaging, Three-Dimensional Young Adult Adult
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Utilisation of artificial intelligence for the development of an EUS-convolutional neural network model trained to enhance the diagnosis of autoimmune pancreatitis.

Gut Oct 7, 2020
OBJECTIVE: The diagnosis of autoimmune pancreatitis (AIP) is challenging. Sonographic and cross-sectional imaging findings of AIP closely mimic pancreatic ductal adenocarcinoma (PDAC) and techniques for tissue sampling of AIP are suboptimal. These li...
Pancreatic Neoplasms Area Under Curve Carcinoma, Pancreatic Ductal Endosonography Neural Networks, Computer Machine Learning ROC Curve Diagnosis, Differential Image Interpretation, Computer-Assisted Observer Variation Pancreas Autoimmune Pancreatitis Humans
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DeepACTION: A deep learning-based method for predicting novel drug-target interactions.

Analytical biochemistry Oct 6, 2020
Drug-target interactions (DTIs) play a key role in drug development and discovery processes. Wet lab prediction of DTIs is time-consuming, expensive, and tedious. Fortunately, computational approaches can identify new interactions (drug-target pairs)...
Neural Networks, Computer ROC Curve Proteins Area Under Curve Pharmaceutical Preparations
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Clinical Predictive Models for COVID-19: Systematic Study.

Journal of medical Internet research Oct 6, 2020
BACKGROUND: COVID-19 is a rapidly emerging respiratory disease caused by SARS-CoV-2. Due to the rapid human-to-human transmission of SARS-CoV-2, many health care systems are at risk of exceeding their health care capacities, in particular in terms of...
Sensitivity and Specificity Brazil Respiration, Artificial ROC Curve Retrospective Studies Intensive Care Units SARS-CoV-2 Hospitalization Public Health Informatics Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Predictive Value of Tests Humans Area Under Curve Machine Learning Neural Networks, Computer Coronavirus Infections Pandemics COVID-19 Testing COVID-19 Algorithms
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Sampling methods and feature selection for mortality prediction with neural networks.

Journal of biomedical informatics Oct 5, 2020
Along with digitization, automatic data-driven decision support systems become increasingly popular. Mortality prediction is a vital part of that decision process. With more data available, sophisticated machine learning models like (Artificial) Neur...
Neural Networks, Computer Machine Learning Reproducibility of Results Hospital Mortality ROC Curve
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Deep neural network improves the estimation of polygenic risk scores for breast cancer.

Journal of human genetics Oct 2, 2020
Polygenic risk scores (PRS) estimate the genetic risk of an individual for a complex disease based on many genetic variants across the whole genome. In this study, we compared a series of computational models for estimation of breast cancer PRS. A de...
Humans Neural Networks, Computer Algorithms Phenotype Polymorphism, Single Nucleotide Female Case-Control Studies Multifactorial Inheritance Genome-Wide Association Study Risk Factors ROC Curve Breast Neoplasms Genetic Predisposition to Disease Biomarkers, Tumor
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Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.

JAMA network open Oct 1, 2020
IMPORTANCE: Chest radiography is the most common diagnostic imaging examination performed in emergency departments (EDs). Augmenting clinicians with automated preliminary read assistants could help expedite their workflows, improve accuracy, and redu...
Thorax Internship and Residency Area Under Curve Radiography Radiographic Image Interpretation, Computer-Assisted Quality of Health Care Artificial Intelligence Algorithms ROC Curve Humans
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