AIMC Topic: ROC Curve

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Cancer Classification with a Cost-Sensitive Naive Bayes Stacking Ensemble.

Computational and mathematical methods in medicine Apr 24, 2021
Ensemble learning combines multiple learners to perform combinatorial learning, which has advantages of good flexibility and higher generalization performance. To achieve higher quality cancer classification, in this study, the fast correlation-based...
Oncogenes ROC Curve Algorithms Computational Biology Humans Gene Expression Regulation, Neoplastic Databases, Genetic Neural Networks, Computer Female Support Vector Machine Decision Trees Machine Learning Male Bayes Theorem Neoplasms Oligonucleotide Array Sequence Analysis
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Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients.

PloS one Apr 21, 2021
BACKGROUND: Efficient and early triage of hospitalized Covid-19 patients to detect those with higher risk of severe disease is essential for appropriate case management.
Forecasting Retrospective Studies Female Area Under Curve SARS-CoV-2 Cohort Studies Spain Humans ROC Curve Hospitalization Machine Learning Models, Statistical Aged Middle Aged COVID-19 Triage Adult Risk Assessment Male Respiration, Artificial Severity of Illness Index
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A scalable approach for developing clinical risk prediction applications in different hospitals.

Journal of biomedical informatics Apr 20, 2021
OBJECTIVE: Machine learning (ML) algorithms are now widely used in predicting acute events for clinical applications. While most of such prediction applications are developed to predict the risk of a particular acute event at one hospital, few effort...
Humans Machine Learning Electronic Health Records Hospitalization Hospitals ROC Curve
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Radiomics analysis on CT images for prediction of radiation-induced kidney damage by machine learning models.

Computers in biology and medicine Apr 19, 2021
INTRODUCTION: We aimed to assess the power of radiomic features based on computed tomography to predict risk of chronic kidney disease in patients undergoing radiation therapy of abdominal cancers.
Humans Machine Learning Tomography, X-Ray Computed ROC Curve Kidney Bayes Theorem
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Intelligent Diagnosis of Thyroid Ultrasound Imaging Using an Ensemble of Deep Learning Methods.

Medicina (Kaunas, Lithuania) Apr 19, 2021
: At present, thyroid disorders have a great incidence in the worldwide population, so the development of alternative methods for improving the diagnosis process is necessary. : For this purpose, we developed an ensemble method that fused two deep le...
Deep Learning Thyroid Gland Ultrasonography ROC Curve Humans Neural Networks, Computer
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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...
Infant Lung Deep Learning Child, Preschool Humans Reproducibility of Results Early Diagnosis ROC Curve Pneumonia Radiographic Image Interpretation, Computer-Assisted
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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...
Leukocyte Count Lymphocytes, Tumor-Infiltrating Reproducibility of Results Databases, Genetic Tumor Microenvironment Molecular Sequence Annotation Immunotherapy Biomarkers, Tumor Transcriptome Monocytes Gene Expression Profiling Humans ROC Curve Treatment Outcome Machine Learning Genomics Glioma Prognosis Computational Biology
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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 Humans Gravidity Labor Presentation Labor Stage, First 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...
Humans Pneumonia Artificial Intelligence Area Under Curve Tomography, X-Ray Computed Tertiary Care Centers Male Female Thorax Middle Aged Aged ROC Curve Adult
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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...
Lung Humans Deep Learning Adenocarcinoma ROC Curve Databases, Factual Area Under Curve Lung Neoplasms Small Cell Lung Carcinoma Carcinoma, Squamous Cell
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