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ROC Curve

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Decision Support System for Seizure Onset Zone Localization Based on Channel Ranking and High-Frequency EEG Activity.

IEEE journal of biomedical and health informatics Aug 30, 2018
Interictal high-frequency oscillations (HFO) are a promising biomarker that can help define the seizure onset zone (SOZ) and predict the surgical outcome after the epilepsy surgery. The utility of HFO in planning the surgery, though, is unclear. Reas...
ROC Curve Decision Support Systems, Clinical Support Vector Machine Epilepsy Seizures Signal Processing, Computer-Assisted Electrocorticography Young Adult Adult Male Adolescent Humans Female
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Methodological variations in lagged regression for detecting physiologic drug effects in EHR data.

Journal of biomedical informatics Aug 30, 2018
We studied how lagged linear regression can be used to detect the physiologic effects of drugs from data in the electronic health record (EHR). We systematically examined the effect of methodological variations ((i) time series construction, (ii) tem...
Humans Pharmaceutical Preparations Data Collection Time Factors Academic Medical Centers ROC Curve New York City Linear Models Regression Analysis Machine Learning Drug Therapy Area Under Curve Databases, Factual Electronic Health Records Reproducibility of Results
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Quantitative structure-activity relationship analysis using deep learning based on a novel molecular image input technique.

Bioorganic & medicinal chemistry letters Aug 27, 2018
Quantitative structure-activity relationship (QSAR) analysis uses structural, quantum chemical, and physicochemical features calculated from molecular geometry as explanatory variables predicting physiological activity. Recently, deep learning based ...
Molecular Conformation Quantitative Structure-Activity Relationship ROC Curve Deep Learning Molecular Structure Models, Chemical
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Automated retinopathy of prematurity screening using deep neural networks.

EBioMedicine Aug 27, 2018
BACKGROUND: Retinopathy of prematurity (ROP) is the leading cause of childhood blindness worldwide. Automated ROP detection system is urgent and it appears to be a safe, reliable, and cost-effective complement to human experts.
Automation Gestational Age Retinopathy of Prematurity Humans Mass Screening Infant Neural Networks, Computer Birth Weight Deep Learning Algorithms Internet ROC Curve Databases as Topic Image Processing, Computer-Assisted
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Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women.

Annals of epidemiology Aug 24, 2018
PURPOSE: Spontaneous preterm birth is a leading cause of perinatal mortality in the United States, occurring disproportionately among non-Hispanic black women compared to other race-ethnicities. Clinicians lack tools to identify first-time mothers at...
Premature Birth Birth Certificates Parity ROC Curve Predictive Value of Tests White People Machine Learning Gestational Age Humans Retrospective Studies California Pregnancy Black or African American Female
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Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach.

IEEE journal of biomedical and health informatics Aug 23, 2018
Parkinson's disease is a neurodegenerative disorder characterized by a variety of motor symptoms. Particularly, difficulties to start/stop movements have been observed in patients. From a technical/diagnostic point of view, these movement changes can...
ROC Curve Image Processing, Computer-Assisted Parkinson Disease Signal Processing, Computer-Assisted Male Middle Aged Deep Learning Speech Gait Gait Analysis Handwriting Humans Databases, Factual Female Aged Aged, 80 and over
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Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score.

Journal of magnetic resonance imaging : JMRI Aug 21, 2018
BACKGROUND: Oncotype Dx is a validated genetic analysis that provides a recurrence score (RS) to quantitatively predict outcomes in patients who meet the criteria of estrogen receptor positive / human epidermal growth factor receptor-2 negative (ER+/...
Neoplasm Recurrence, Local Receptor, ErbB-2 Carcinoma, Ductal, Breast Estrogen Receptor alpha Image Processing, Computer-Assisted Treatment Outcome Magnetic Resonance Imaging Area Under Curve Female Reproducibility of Results Aged Adult Breast Neoplasms Middle Aged ROC Curve Imaging, Three-Dimensional Humans Neural Networks, Computer Algorithms Retrospective Studies
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Endoscopic Diagnostic Support System for cT1b Colorectal Cancer Using Deep Learning.

Oncology Aug 21, 2018
OBJECTIVE: This study aimed to use convolutional neural network (CNN), a deep learning software, to assist in cT1b diagnosis.
Neural Networks, Computer Machine Learning Colorectal Neoplasms Deep Learning ROC Curve Humans Decision Support Systems, Clinical Area Under Curve Neoplasm Staging Colposcopy
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Automated deep-neural-network surveillance of cranial images for acute neurologic events.

Nature medicine Aug 13, 2018
Rapid diagnosis and treatment of acute neurological illnesses such as stroke, hemorrhage, and hydrocephalus are critical to achieving positive outcomes and preserving neurologic function-'time is brain'. Although these disorders are often recognizabl...
ROC Curve Humans Randomized Controlled Trials as Topic Neural Networks, Computer Imaging, Three-Dimensional Algorithms Automation Tomography, X-Ray Computed Skull
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Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms.

BMC bioinformatics Aug 13, 2018
BACKGROUND: The risk factors of diabetic retinopathy (DR) were investigated extensively in the past studies, but it remains unknown which risk factors were more associated with the DR than others. If we can detect the DR related risk factors more acc...
Algorithms Humans Aged, 80 and over ROC Curve Adult Diabetic Retinopathy Decision Support Systems, Clinical Female Male Neural Networks, Computer Diabetes Mellitus, Type 2 Risk Factors Middle Aged Machine Learning Aged
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