AIMC Topic:
ROC Curve

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Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images.

The British journal of radiology Apr 16, 2021
OBJECTIVE: Pneumonia is a lung infection and causes the inflammation of the small air sacs (Alveoli) in one or both lungs. Proper and faster diagnosis of pneumonia at an early stage is imperative for optimal patient care. Currently, chest X-ray is co...
Humans Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Early Diagnosis Deep Learning Infant Child, Preschool Lung ROC Curve Pneumonia
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The Predictive Value of Monocytes in Immune Microenvironment and Prognosis of Glioma Patients Based on Machine Learning.

Frontiers in immunology Apr 16, 2021
Gliomas are primary malignant brain tumors. Monocytes have been proved to actively participate in tumor growth. Weighted gene co-expression network analysis was used to identify meaningful monocyte-related genes for clustering. Neural network and SVM...
Lymphocytes, Tumor-Infiltrating Databases, Genetic Molecular Sequence Annotation Leukocyte Count Transcriptome Immunotherapy Reproducibility of Results Humans ROC Curve Monocytes Tumor Microenvironment Machine Learning Genomics Treatment Outcome Biomarkers, Tumor Prognosis Computational Biology Glioma Gene Expression Profiling
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Prediction of severe adverse neonatal outcomes at the second stage of labour using machine learning: a retrospective cohort study.

BJOG : an international journal of obstetrics and gynaecology Apr 15, 2021
OBJECTIVE: To create a personalised machine learning model for prediction of severe adverse neonatal outcomes (SANO) during the second stage of labour.
Parity Adult ROC Curve Pregnancy Outcome Machine Learning Retrospective Studies Pregnancy Female Gravidity Labor Presentation Labor Stage, First Humans Labor Stage, Second Predictive Value of Tests Patient Admission Delivery, Obstetric Obstetric Labor Complications
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Diagnostic performance of artificial intelligence model for pneumonia from chest radiography.

PloS one Apr 15, 2021
OBJECTIVE: The chest X-ray (CXR) is the most readily available and common imaging modality for the assessment of pneumonia. However, detecting pneumonia from chest radiography is a challenging task, even for experienced radiologists. An artificial in...
Pneumonia Area Under Curve Tertiary Care Centers Thorax Adult Male Middle Aged ROC Curve Artificial Intelligence Tomography, X-Ray Computed Female Aged Humans
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A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images.

Scientific reports Apr 14, 2021
The differentiation between major histological types of lung cancer, such as adenocarcinoma (ADC), squamous cell carcinoma (SCC), and small-cell lung cancer (SCLC) is of crucial importance for determining optimum cancer treatment. Hematoxylin and Eos...
Area Under Curve Small Cell Lung Carcinoma Humans Databases, Factual Carcinoma, Squamous Cell Lung Deep Learning ROC Curve Lung Neoplasms Adenocarcinoma
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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 ...
United States Deep Learning Predictive Value of Tests Databases, Factual ROC Curve Area Under Curve Retrospective Studies Canada Liver Transplantation Female Logistic Models Humans Aged Algorithms Adult Male Middle Aged Risk Assessment
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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...
Aged Deep Learning ROC Curve Area Under Curve Humans Prognosis Walking Brain Infarction
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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...
Aged Aged, 80 and over Adult Middle Aged Humans Neural Networks, Computer Deep Learning Mammography ROC Curve Data Compression Image Processing, Computer-Assisted Models, Theoretical
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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...
Image Processing, Computer-Assisted SARS-CoV-2 Humans Area Under Curve Lung Machine Learning Datasets as Topic Diagnosis, Computer-Assisted COVID-19 ROC Curve Tomography, X-Ray Computed
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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 ...
Machine Learning Databases, Factual Diagnosis, Computer-Assisted Deep Learning ROC Curve Disease Clinical Laboratory Techniques Humans Neural Networks, Computer
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