AIMC Topic: ROC Curve

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Performance of a convolutional neural network for automatic detection of blood and hematic residues in small bowel lumen.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Feb 23, 2021
Gastrointestinal Hemorrhage Intestine, Small Humans Neural Networks, Computer ROC Curve Capsule Endoscopy
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Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.

International journal of medical informatics Feb 22, 2021
BACKGROUND: Diabetes is a chronic noncommunicable disease with high incidence rate. Diabetics without early diagnosis or standard treatment may contribute to serious multisystem complications, which can be life threatening. Timely detection and inter...
Diabetes Mellitus Tongue Early Diagnosis Humans Machine Learning ROC Curve
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Learning From Past Respiratory Infections to Predict COVID-19 Outcomes: Retrospective Study.

Journal of medical Internet research Feb 22, 2021
BACKGROUND: For the clinical care of patients with well-established diseases, randomized trials, literature, and research are supplemented with clinical judgment to understand disease prognosis and inform treatment choices. In the void created by a l...
Machine Learning Pandemics COVID-19 Prognosis Humans Hospitalization Aged Male Middle Aged Retrospective Studies Female SARS-CoV-2 Pneumonia, Viral ROC Curve Treatment Outcome Predictive Value of Tests Respiration, Artificial Area Under Curve Comorbidity Cohort Studies
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Establishing Classifiers With Clinical Laboratory Indicators to Distinguish COVID-19 From Community-Acquired Pneumonia: Retrospective Cohort Study.

Journal of medical Internet research Feb 22, 2021
BACKGROUND: The initial symptoms of patients with COVID-19 are very much like those of patients with community-acquired pneumonia (CAP); it is difficult to distinguish COVID-19 from CAP with clinical symptoms and imaging examination.
Humans Logistic Models Machine Learning Pneumonia Female Male Laboratories SARS-CoV-2 Middle Aged Procalcitonin COVID-19 Leukocyte Count ROC Curve Area Under Curve Retrospective Studies Community-Acquired Infections
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Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission.

Frontiers in immunology Feb 22, 2021
A complicated clinical course for critically ill patients admitted to the intensive care unit (ICU) usually includes multiorgan dysfunction and subsequent death. Owing to the heterogeneity, complexity, and unpredictability of the disease progression,...
Chromosome Mapping Leukocytes Critical Care Disease Susceptibility Transcriptome Computational Biology Hospital Mortality Sepsis Databases, Genetic Intensive Care Units ROC Curve Time Factors Reproducibility of Results Gene Expression Profiling Humans Machine Learning Biomarkers
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Deep learning for accurately recognizing common causes of shoulder pain on radiographs.

Skeletal radiology Feb 20, 2021
OBJECTIVE: Training a convolutional neural network (CNN) to detect the most common causes of shoulder pain on plain radiographs and to assess its potential value in serving as an assistive device to physicians.
Humans Deep Learning ROC Curve Neural Networks, Computer Retrospective Studies Area Under Curve Radiography Shoulder Pain
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Deep learning based digital cell profiles for risk stratification of urine cytology images.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Feb 20, 2021
Urine cytology is a test for the detection of high-grade bladder cancer. In clinical practice, the pathologist would manually scan the sample under the microscope to locate atypical and malignant cells. They would assess the morphology of these cells...
Risk Assessment Deep Learning ROC Curve Cytodiagnosis
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Predicting presumed serious infection among hospitalized children on central venous lines with machine learning.

Computers in biology and medicine Feb 20, 2021
BACKGROUND: Presumed serious infection (PSI) is defined as a blood culture drawn and new antibiotic course of at least 4 days among pediatric patients with Central Venous Lines (CVLs). Early PSI prediction and use of medical interventions can prevent...
Humans Machine Learning Retrospective Studies Child ROC Curve Predictive Value of Tests Child, Hospitalized
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Deep learning based automated diagnosis of bone metastases with SPECT thoracic bone images.

Scientific reports Feb 19, 2021
SPECT nuclear medicine imaging is widely used for treating, diagnosing, evaluating and preventing various serious diseases. The automated classification of medical images is becoming increasingly important in developing computer-aided diagnosis syste...
Image Interpretation, Computer-Assisted Reproducibility of Results Automation ROC Curve Aged Tomography, Emission-Computed, Single-Photon Image Processing, Computer-Assisted Aged, 80 and over Whole Body Imaging Humans Bone Neoplasms Middle Aged Data Analysis Deep Learning Algorithms Adult Female Male
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An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning.

Nature communications Feb 19, 2021
Deep learning for digital pathology is hindered by the extremely high spatial resolution of whole-slide images (WSIs). Most studies have employed patch-based methods, which often require detailed annotation of image patches. This typically involves l...
Lung Neoplasms Adenocarcinoma Humans Neural Networks, Computer Algorithms ROC Curve Image Processing, Computer-Assisted Carcinoma, Squamous Cell Deep Learning
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