AIMC Topic: ROC Curve

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Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data.

The Lancet. Digital health Apr 12, 2021
BACKGROUND: Survival of liver transplant recipients beyond 1 year since transplantation is compromised by an increased risk of cancer, cardiovascular events, infection, and graft failure. Few clinical tools are available to identify patients at risk ...
Aged Adult Male Middle Aged Algorithms Liver Transplantation Risk Assessment Humans Databases, Factual Deep Learning Retrospective Studies ROC Curve Logistic Models Canada Female United States Predictive Value of Tests Area Under Curve
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Prediction of ambulatory outcome in patients with corona radiata infarction using deep learning.

Scientific reports Apr 12, 2021
Deep learning (DL) is an advanced machine learning approach used in diverse areas such as bioinformatics, image analysis, and natural language processing. Here, using brain magnetic resonance imaging (MRI) data obtained at early stages of infarcts, w...
Deep Learning ROC Curve Area Under Curve Walking Brain Infarction Humans Prognosis Aged
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Impact of image compression on deep learning-based mammogram classification.

Scientific reports Apr 12, 2021
Image compression is used in several clinical organizations to help address the overhead associated with medical imaging. These methods reduce file size by using a compact representation of the original image. This study aimed to analyze the impact o...
Mammography Data Compression Deep Learning ROC Curve Image Processing, Computer-Assisted Models, Theoretical Humans Aged, 80 and over Neural Networks, Computer Adult Aged Middle Aged
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Detection of COVID-19 from CT Lung Scans Using Transfer Learning.

Computational intelligence and neuroscience Apr 8, 2021
This paper aims to investigate the use of transfer learning architectures in the detection of COVID-19 from CT lung scans. The study evaluates the performances of various transfer learning architectures, as well as the effects of the standard Histogr...
ROC Curve Image Processing, Computer-Assisted Area Under Curve Datasets as Topic Tomography, X-Ray Computed Humans SARS-CoV-2 Machine Learning Lung COVID-19 Diagnosis, Computer-Assisted
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Development of machine learning model for diagnostic disease prediction based on laboratory tests.

Scientific reports Apr 7, 2021
The use of deep learning and machine learning (ML) in medical science is increasing, particularly in the visual, audio, and language data fields. We aimed to build a new optimized ensemble model by blending a DNN (deep neural network) model with two ...
ROC Curve Disease Clinical Laboratory Techniques Humans Neural Networks, Computer Machine Learning Databases, Factual Diagnosis, Computer-Assisted Deep Learning
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Deep Learning Ensemble Method for Classifying Glaucoma Stages Using Fundus Photographs and Convolutional Neural Networks.

Current eye research Apr 6, 2021
: This study developed and evaluated a deep learning ensemble method to automatically grade the stages of glaucoma depending on its severity.: After cross-validation of three glaucoma specialists, the final dataset comprised of 3,460 fundus photograp...
Neural Networks, Computer Glaucoma Retrospective Studies Reproducibility of Results Humans Fundus Oculi Visual Fields Visual Field Tests Diagnostic Techniques, Ophthalmological Severity of Illness Index Deep Learning ROC Curve Area Under Curve Photography
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Understanding risk factors for postoperative mortality in neonates based on explainable machine learning technology.

Journal of pediatric surgery Apr 5, 2021
PURPOSE: We aimed to introduce an explainable machine learning technology to help clinicians understand the risk factors for neonatal postoperative mortality at different levels.
ROC Curve Postoperative Period Technology Infant, Newborn Risk Factors Child Humans Machine Learning
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Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas.

World neurosurgery Apr 2, 2021
OBJECTIVE: H3K27M mutation in gliomas has prognostic implications. Previous magnetic resonance imaging (MRI) studies have reported variable rates of tumoral enhancement, necrotic changes, and peritumoral edema in H3K27M-mutant gliomas, with no distin...
Area Under Curve Mutation Sensitivity and Specificity Histones Brain Neoplasms Image Processing, Computer-Assisted Female Adolescent Humans Male Reproducibility of Results Glioma Cohort Studies Machine Learning Middle Aged Young Adult Algorithms Child Magnetic Resonance Imaging Adult ROC Curve Predictive Value of Tests
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Prediction of eating disorder treatment response trajectories via machine learning does not improve performance versus a simpler regression approach.

The International journal of eating disorders Apr 2, 2021
OBJECTIVE: Patterns of response to eating disorder (ED) treatment are heterogeneous. Advance knowledge of a patient's expected course may inform precision medicine for ED treatment. This study explored the feasibility of applying machine learning to ...
Humans Adolescent ROC Curve Logistic Models Feeding and Eating Disorders Machine Learning Female Hospitalization Adult
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Development and Validation of a Machine Learning Model to Estimate Bacterial Sepsis Among Immunocompromised Recipients of Stem Cell Transplant.

JAMA network open Apr 1, 2021
IMPORTANCE: Sepsis disproportionately affects recipients of allogeneic hematopoietic cell transplant (allo-HCT), and timely detection is crucial. However, the atypical presentation of sepsis within this population makes detection challenging, and exi...
Risk Assessment Sepsis ROC Curve Hematopoietic Stem Cell Transplantation Female Random Allocation Humans Adult Immunocompetence Male Machine Learning Middle Aged Decision Support Techniques Retrospective Studies
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