AIMC Topic: ROC Curve
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A deep learning method for classifying mammographic breast density categories.
Medical physics
Dec 22, 2017
PURPOSE: Mammographic breast density is an established risk marker for breast cancer and is visually assessed by radiologists in routine mammogram image reading, using four qualitative Breast Imaging and Reporting Data System (BI-RADS) breast density...
"Hypothyroidism screening during first trimester of pregnancy".
BMC pregnancy and childbirth
Dec 22, 2017
BACKGROUND: Subclinical hypothyroidism is defined as an elevated thyroid-stimulating hormone level with a normal thyroxin level without signs or symptoms of hypothyroidism. Although it is well accepted that overt hypothyroidism has a deleterious impa...
Prognostic Implications of Magnetic Resonance-Derived Quantification in Asymptomatic Patients With Organic Mitral Regurgitation: Comparison With Doppler Echocardiography-Derived Integrative Approach.
Circulation
Dec 21, 2017
BACKGROUND: Magnetic resonance imaging (MRI) is an accurate method for the quantitative assessment of organic mitral regurgitation (OMR). The aim of the present study was to compare the discriminative power of MRI quantification and the recommended D...
Does she have adnexal torsion? Prediction of adnexal torsion in reproductive age women.
Archives of gynecology and obstetrics
Dec 21, 2017
PURPOSE: The aim of this study was to investigate the association of clinical, laboratory and ultrasound findings with the surgical diagnosis of adnexal torsion in a retrospective cohort of women operated for suspected torsion.
Hadamard Kernel SVM with applications for breast cancer outcome predictions.
BMC systems biology
Dec 21, 2017
BACKGROUND: Breast cancer is one of the leading causes of deaths for women. It is of great necessity to develop effective methods for breast cancer detection and diagnosis. Recent studies have focused on gene-based signatures for outcome predictions....
Detection of American Football Head Impacts Using Biomechanical Features and Support Vector Machine Classification.
Scientific reports
Dec 21, 2017
Accumulation of head impacts may contribute to acute and long-term brain trauma. Wearable sensors can measure impact exposure, yet current sensors do not have validated impact detection methods for accurate exposure monitoring. Here we demonstrate a ...
Biomarker and shear stress in secondary pediatric pulmonary hypertension.
Turkish journal of medical sciences
Dec 19, 2017
Background/aim: Endothelial dysfunction, tissue damage, inflammation, and microthrombosis are involved in the pathogenesis of pulmonary hypertension (PH), which may be present as a complication of congenital heart diseases. This study aims to identif...
Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism.
Molecular autism
Dec 19, 2017
BACKGROUND: Autism spectrum disorder (ASD) diagnosis can be delayed due in part to the time required for administration of standard exams, such as the Autism Diagnostic Observation Schedule (ADOS). Shorter and potentially mobilized approaches would h...
Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm.
Computer methods and programs in biomedicine
Dec 16, 2017
Background and Objective Fatty Liver Disease (FLD) - a disease caused by deposition of fat in liver cells, is predecessor to terminal diseases such as liver cancer. The machine learning (ML) techniques applied for FLD detection and risk stratificatio...
The ability to predict pregnancy loss in cattle with ELISAs that detect pregnancy associated glycoproteins is antibody dependent.
Theriogenology
Dec 14, 2017
The concentration of circulating pregnancy associated glycoproteins (PAGs) early in pregnancy may serve as markers to predict late embryonic mortality or fetal mortality in cattle. In this study, pregnancies were established in dairy cows, by either ...
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