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ROC Curve

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Weakly-supervised deep learning for ultrasound diagnosis of breast cancer.

Scientific reports Dec 21, 2021
Conventional deep learning (DL) algorithm requires full supervision of annotating the region of interest (ROI) that is laborious and often biased. We aimed to develop a weakly-supervised DL algorithm that diagnosis breast cancer at ultrasound without...
Follow-Up Studies Prognosis Diagnosis, Differential Retrospective Studies Ultrasonography, Mammary Breast Image Interpretation, Computer-Assisted Case-Control Studies Deep Learning Adolescent ROC Curve Humans Aged, 80 and over Neural Networks, Computer Algorithms Young Adult Adult Breast Neoplasms Middle Aged Female Aged
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Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.

Scientific reports Dec 20, 2021
Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower limbs and often requires corrective surgery to alleviate symptoms. Amongst military personnel, the success rates of this surgery can be as low as 20%...
Area Under Curve Military Personnel Linear Models Leg Fasciotomy Return to Work Chronic Exertional Compartment Syndrome ROC Curve Treatment Outcome Support Vector Machine Reproducibility of Results Lower Extremity Humans Young Adult Models, Statistical Machine Learning Adult Middle Aged Prognosis Sensitivity and Specificity Exercise Female Male Surveys and Questionnaires Time Factors
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A stroke detection and discrimination framework using broadband microwave scattering on stochastic models with deep learning.

Scientific reports Dec 20, 2021
Stroke poses an immense public health burden and remains among the primary causes of death and disability worldwide. Emergent therapy is often precluded by late or indeterminate times of onset before initial clinical presentation. Rapid, mobile, safe...
Humans Neural Networks, Computer Microwaves Stochastic Processes Algorithms Hemorrhagic Stroke Diagnosis, Computer-Assisted Scattering, Radiation Brain Normal Distribution Deep Learning Computer Simulation ROC Curve Electromagnetic Fields Reproducibility of Results Area Under Curve Head
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Comparative Analysis of Deepfake Image Detection Method Using Convolutional Neural Network.

Computational intelligence and neuroscience Dec 16, 2021
Generation Z is a data-driven generation. Everyone has the entirety of humanity's knowledge in their hands. The technological possibilities are endless. However, we use and misuse this blessing to face swap using deepfake. Deepfake is an emerging sub...
ROC Curve Humans Social Media Neural Networks, Computer Artificial Intelligence Machine Learning
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Development and validation of a practical machine-learning triage algorithm for the detection of patients in need of critical care in the emergency department.

Scientific reports Dec 15, 2021
Identifying critically ill patients is a key challenge in emergency department (ED) triage. Mis-triage errors are still widespread in triage systems around the world. Here, we present a machine learning system (MLS) to assist ED triage officers bette...
Emergency Service, Hospital Critical Care Disease Management Odds Ratio Disease Susceptibility Humans Male Machine Learning Middle Aged Algorithms ROC Curve Critical Illness Triage Clinical Decision-Making Area Under Curve Female Aged Adult
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Predicting deleterious missense genetic variants via integrative supervised nonnegative matrix tri-factorization.

Scientific reports Dec 9, 2021
Among an assortment of genetic variations, Missense are major ones which a small subset of them may led to the upset of the protein function and ultimately end in human diseases. Various machine learning methods were declared to differentiate deleter...
Mutation, Missense Genetic Association Studies Computational Biology Systems Biology Supervised Machine Learning Humans Algorithms Reproducibility of Results ROC Curve
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Vocal cord lesions classification based on deep convolutional neural network and transfer learning.

Medical physics Dec 8, 2021
PURPOSE: Laryngoscopy, the most common diagnostic method for vocal cord lesions (VCLs), is based mainly on the visual subjective inspection of otolaryngologists. This study aimed to establish a highly objective computer-aided VCLs diagnosis system ba...
Neural Networks, Computer Machine Learning ROC Curve Area Under Curve Vocal Cords
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ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides.

Scientific reports Dec 8, 2021
Although advancing the therapeutic alternatives for treating deadly cancers has gained much attention globally, still the primary methods such as chemotherapy have significant downsides and low specificity. Most recently, Anticancer peptides (ACPs) h...
Humans Neural Networks, Computer Algorithms Reproducibility of Results ROC Curve Computational Biology Amino Acid Sequence Chemical Phenomena Peptides Drug Discovery Antineoplastic Agents Deep Learning
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An early model to predict the risk of gestational diabetes mellitus in the absence of blood examination indexes: application in primary health care centres.

BMC pregnancy and childbirth Dec 8, 2021
BACKGROUND: Gestational diabetes mellitus (GDM) is one of the critical causes of adverse perinatal outcomes. A reliable estimate of GDM in early pregnancy would facilitate intervention plans for maternal and infant health care to prevent the risk of ...
Humans Models, Statistical Pregnancy Trimester, First Diabetes, Gestational Adult Sensitivity and Specificity Machine Learning China ROC Curve Pregnancy Primary Health Care Female Risk Factors
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Optimizing hepatitis B virus screening in the United States using a simple demographics-based model.

Hepatology (Baltimore, Md.) Dec 7, 2021
BACKGROUND AND AIMS: Chronic hepatitis B (CHB) affects >290 million persons globally, and only 10% have been diagnosed, presenting a severe gap that must be addressed. We developed logistic regression (LR) and machine learning (ML; random forest) mod...
Logistic Models Nutrition Surveys United States Mass Screening Asian Hepatitis B, Chronic Humans Patient Selection Demography Machine Learning Hispanic or Latino Black People Female Sex Factors Birth Cohort Male White People Epidemiological Models ROC Curve Black or African American
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