AIMC Topic: ROC Curve

Clear Filters Showing 3451 to 3460 of 3585 articles

[Research on algorithms for identifying the severity of acute respiratory distress syndrome patients based on noninvasive parameters].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Jun 25, 2019
Acute respiratory distress syndrome (ARDS) is a serious threat to human life and health disease, with acute onset and high mortality. The current diagnosis of the disease depends on blood gas analysis results, while calculating the oxygenation index....
ROC Curve Monitoring, Physiologic Respiratory Distress Syndrome Area Under Curve Humans Machine Learning Algorithms Sensitivity and Specificity Blood Gas Analysis
View on PubMed DOI

Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer.

Human reproduction (Oxford, England) Jun 4, 2019
STUDY QUESTION: Can a deep learning model predict the probability of pregnancy with fetal heart (FH) from time-lapse videos?
Pregnancy Female Young Adult Adult Middle Aged Humans Prospective Studies Retrospective Studies Time-Lapse Imaging Pregnancy Rate Deep Learning Infertility Treatment Outcome ROC Curve Fetal Heart Embryo Implantation Image Processing, Computer-Assisted Predictive Value of Tests Embryo Transfer
View on PubMed DOI

Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma: A preliminary study.

Medicine Jun 1, 2019
To compare results for radiological prediction of pathological invasiveness in lung adenocarcinoma between radiologists and a deep learning (DL) system.Ninety patients (50 men, 40 women; mean age, 66 years; range, 40-88 years) who underwent pre-opera...
Adult Male Middle Aged Deep Learning Predictive Value of Tests Area Under Curve Adenocarcinoma of Lung ROC Curve Neoplasm Invasiveness Humans Female Aged Aged, 80 and over
View on PubMed DOI

A Machine-Learning Algorithm to Optimise Automated Adverse Drug Reaction Detection from Clinical Coding.

Drug safety Jun 1, 2019
INTRODUCTION: Adverse drug reaction (ADR) detection in hospitals is heavily reliant on spontaneous reporting by clinical staff, with studies in the literature pointing to high rates of underreporting [1]. International Classification of Diseases, 10t...
Drug-Related Side Effects and Adverse Reactions International Classification of Diseases Clinical Coding Adverse Drug Reaction Reporting Systems Humans Hospitalization Hospitals ROC Curve Machine Learning Algorithms
View on PubMed DOI

Artificial Intelligence-Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI.

Investigative radiology Jun 1, 2019
OBJECTIVES: We investigated artificial intelligence (AI)-based classification of benign and malignant breast lesions imaged with a multiparametric breast magnetic resonance imaging (MRI) protocol with ultrafast dynamic contrast-enhanced MRI, T2-weigh...
Humans Artificial Intelligence Retrospective Studies Female Adult Image Enhancement Contrast Media Sensitivity and Specificity Diffusion Magnetic Resonance Imaging Breast Breast Neoplasms Multiparametric Magnetic Resonance Imaging Middle Aged ROC Curve
View on PubMed DOI

Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas.

Clinical and translational gastroenterology May 22, 2019
OBJECTIVES: Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions of pancreatic adenocarcinoma. Artificial intelligence (AI) is a mathematical concept whose implementation automates learning and recognizing data patterns. The aim of ...
ROC Curve Humans Aged Endosonography Pancreatic Intraductal Neoplasms Retrospective Studies Image Processing, Computer-Assisted Aged, 80 and over Female Adult Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Pancreas Pancreatectomy Preoperative Period Male Middle Aged Disease Progression Deep Learning
View on PubMed DOI

A new method using machine learning for automated image analysis applied to chip-based digital assays.

The Analyst May 13, 2019
Chip-based digital assays such as the digital polymerase chain reaction (digital PCR), digital loop-mediated amplification (digital LAMP), digital enzyme-linked immunosorbent assay (digital ELISA) and digital proximity ligation assay (digital PLA) ne...
Image Processing, Computer-Assisted A549 Cells Optical Imaging Microfluidic Analytical Techniques Fluorescence ROC Curve Single-Cell Analysis Humans Machine Learning
View on PubMed DOI

Exploring the survival prognosis of lung adenocarcinoma based on the cancer genome atlas database using artificial neural network.

Medicine May 1, 2019
The aim of this study was to investigate the clinical factors affecting the survival prognosis of lung adenocarcinoma, and to establish a predictive model of survival prognosis of lung adenocarcinoma by artificial neural network.Download the cancer g...
Logistic Models Regression Analysis Predictive Value of Tests Neoplasm Staging Humans Adenocarcinoma of Lung Neural Networks, Computer Genomic Library Male Prognosis Cigarette Smoking Risk Factors Female Middle Aged Kaplan-Meier Estimate Aged ROC Curve Aged, 80 and over Lung Neoplasms Adult
View on PubMed DOI

Effect of a Deep Learning Framework-Based Computer-Aided Diagnosis System on the Diagnostic Performance of Radiologists in Differentiating between Malignant and Benign Masses on Breast Ultrasonography.

Korean journal of radiology May 1, 2019
OBJECTIVE: To investigate whether a computer-aided diagnosis (CAD) system based on a deep learning framework (deep learning-based CAD) improves the diagnostic performance of radiologists in differentiating between malignant and benign masses on breas...
Humans ROC Curve Image Processing, Computer-Assisted Area Under Curve Breast Neoplasms Breast Retrospective Studies Middle Aged Female Deep Learning Adult Ultrasonography Sensitivity and Specificity
View on PubMed DOI

Natural Language Processing for Automated Quantification of Brain Metastases Reported in Free-Text Radiology Reports.

JCO clinical cancer informatics Apr 1, 2019
PURPOSE: Although the bulk of patient-generated health data are increasing exponentially, their use is impeded because most data come in unstructured format, namely as free-text clinical reports. A variety of natural language processing (NLP) methods...
Brain Neoplasms Radiology Humans ROC Curve Research Report Algorithms Magnetic Resonance Imaging Medical Informatics Electronic Health Records Natural Language Processing Reproducibility of Results
View on PubMed DOI
Popular Topics
Recent Journals