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ROC Curve

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A deep learning approach to automatic gingivitis screening based on classification and localization in RGB photos.

Scientific reports Aug 19, 2021
Routine dental visit is the most common approach to detect the gingivitis. However, such diagnosis can sometimes be unavailable due to the limited medical resources in certain areas and costly for low-income populations. This study proposes to screen...
Gingivitis Photography Mass Screening Area Under Curve Color Automation Humans Reproducibility of Results Algorithms Deep Learning ROC Curve Image Processing, Computer-Assisted
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A machine learning approach to predict extreme inactivity in COPD patients using non-activity-related clinical data.

PloS one Aug 19, 2021
Facilitating the identification of extreme inactivity (EI) has the potential to improve morbidity and mortality in COPD patients. Apart from patients with obvious EI, the identification of a such behavior during a real-life consultation is unreliable...
ROC Curve Female Decision Making Aged Humans Life Style Machine Learning Pulmonary Disease, Chronic Obstructive Sedentary Behavior Algorithms Male
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Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future.

Journal of environmental management Aug 17, 2021
The predicts current and future flood risk in the Kalvan watershed of northwestern Markazi Province, Iran. To do this, 512 flood and non-flood locations were identified and mapped. Twenty flood-risk factors were selected to model flood risk using sev...
Climate Floods Machine Learning Forecasting ROC Curve
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Deep forest model for diagnosing COVID-19 from routine blood tests.

Scientific reports Aug 17, 2021
The Coronavirus Disease 2019 (COVID-19) global pandemic has threatened the lives of people worldwide and posed considerable challenges. Early and accurate screening of infected people is vital for combating the disease. To help with the limited quant...
Humans COVID-19 Deep Learning ROC Curve Mass Screening COVID-19 Testing Datasets as Topic Hematologic Tests
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CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice.

PLoS pathogens Aug 17, 2021
More humans have died of tuberculosis (TB) than any other infectious disease and millions still die each year. Experts advocate for blood-based, serum protein biomarkers to help diagnose TB, which afflicts millions of people in high-burden countries....
Transcriptome ROC Curve Mice Mice, Inbred C57BL Tuberculosis, Pulmonary Mycobacterium tuberculosis Animals, Outbred Strains Chemokine CXCL1 Humans Cytokines Machine Learning Biomarkers Female Animals
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Automated detection of superficial fungal infections from microscopic images through a regional convolutional neural network.

PloS one Aug 17, 2021
Direct microscopic examination with potassium hydroxide is generally used as a screening method for diagnosing superficial fungal infections. Although this type of examination is faster than other diagnostic methods, it can still be time-consuming to...
Hydroxides Hyphae Potassium Compounds Humans Arthrodermataceae Dermatomycoses Deep Learning Microscopy ROC Curve Image Interpretation, Computer-Assisted Skin Datasets as Topic Nails
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Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images.

Scientific reports Aug 16, 2021
Both histologic subtypes and tumor mutation burden (TMB) represent important biomarkers in lung cancer, with implications for patient prognosis and treatment decisions. Typically, TMB is evaluated by comprehensive genomic profiling but this requires ...
Adenocarcinoma of Lung Eosine Yellowish-(YS) Hematoxylin Coloring Agents Sex Factors Datasets as Topic Smoking Deep Learning ROC Curve Lung Neoplasms Staining and Labeling Carcinoma, Non-Small-Cell Lung Aged, 80 and over Age Factors Adult Area Under Curve Male Mutation Middle Aged Humans Female Aged
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Automatic detection of pathological myopia using machine learning.

Scientific reports Aug 16, 2021
Pathological myopia is a severe case of myopia, i.e., nearsightedness. Pathological myopia is also known as degenerative myopia because it ultimately leads to blindness. In pathological myopia, certain myopia-specific pathologies occur at the eye's p...
Humans Predictive Value of Tests Area Under Curve Datasets as Topic Myopia, Degenerative Deep Learning ROC Curve Image Processing, Computer-Assisted Models, Neurological
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Predicting Incident Heart Failure in Women With Machine Learning: The Women's Health Initiative Cohort.

The Canadian journal of cardiology Aug 13, 2021
BACKGROUND: Heart failure (HF) is a leading cause of cardiac morbidity among women, whose risk factors differ from those in men. We used machine-learning approaches to develop risk- prediction models for incident HF in a cohort of postmenopausal wome...
Incidence Risk Factors Humans ROC Curve Aged Machine Learning United States Middle Aged Heart Failure Forecasting Follow-Up Studies Risk Assessment Women's Health Female
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Use of machine learning method on automatic classification of motor subtype of Parkinson's disease based on multilevel indices of rs-fMRI.

Parkinsonism & related disorders Aug 11, 2021
OBJECTIVE: This study aimed to develop an automatic classifier to distinguish different motor subtypes of Parkinson's disease (PD) based on multilevel indices of resting-state functional magnetic resonance imaging (rs-fMRI).
Male Middle Aged ROC Curve Support Vector Machine Humans Brain Magnetic Resonance Imaging Gait Female Machine Learning Parkinson Disease Rest Aged Area Under Curve Statistics, Nonparametric Sensitivity and Specificity Postural Balance Multilevel Analysis
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