AIMC Topic: ROC Curve

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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 ...
Models, Chemical Molecular Conformation Quantitative Structure-Activity Relationship Deep Learning ROC Curve Molecular Structure
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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.
ROC Curve Image Processing, Computer-Assisted Mass Screening Birth Weight Internet Databases as Topic Neural Networks, Computer Automation Gestational Age Algorithms Infant Deep Learning Retinopathy of Prematurity Humans
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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...
Birth Certificates Premature Birth Machine Learning Humans White People Retrospective Studies Parity Gestational Age California ROC Curve Black or African American Predictive Value of Tests Pregnancy 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...
Deep Learning Aged Speech Humans Aged, 80 and over Parkinson Disease Gait ROC Curve Signal Processing, Computer-Assisted Databases, Factual Gait Analysis Image Processing, Computer-Assisted Female Handwriting Male Middle Aged
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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+/...
ROC Curve Imaging, Three-Dimensional Image Processing, Computer-Assisted Treatment Outcome Aged Adult Breast Neoplasms Middle Aged Carcinoma, Ductal, Breast Estrogen Receptor alpha Magnetic Resonance Imaging Area Under Curve Neoplasm Recurrence, Local Receptor, ErbB-2 Humans Neural Networks, Computer Algorithms Retrospective Studies Female Reproducibility of Results
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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.
Neoplasm Staging Colposcopy Deep Learning ROC Curve Decision Support Systems, Clinical Area Under Curve Humans Neural Networks, Computer Machine Learning Colorectal Neoplasms
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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...
Humans Neural Networks, Computer Algorithms Automation Skull Tomography, X-Ray Computed ROC Curve Imaging, Three-Dimensional Randomized Controlled Trials as Topic
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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...
Aged, 80 and over Algorithms Humans Adult ROC Curve Female Male Diabetic Retinopathy Decision Support Systems, Clinical Risk Factors Middle Aged Diabetes Mellitus, Type 2 Neural Networks, Computer Aged Machine Learning
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Prediction of Acquired Taxane Resistance Using a Personalized Pathway-Based Machine Learning Method.

Cancer research and treatment Aug 10, 2018
PURPOSE: This study was conducted to develop and validate an individualized prediction model for automated detection of acquired taxane resistance (ATR).
Machine Learning Algorithms Precision Medicine Reproducibility of Results Databases, Genetic Models, Statistical Drug Resistance, Neoplasm Taxoids Bridged-Ring Compounds Antineoplastic Agents Gene Expression Profiling Pharmacogenetics ROC Curve
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Skin lesion classification with ensembles of deep convolutional neural networks.

Journal of biomedical informatics Aug 10, 2018
Skin cancer is a major public health problem with over 123,000 newly diagnosed cases worldwide in every year. Melanoma is the deadliest form of skin cancer, responsible for over 9000 deaths in the United States each year. Thus, reliable automatic mel...
Image Processing, Computer-Assisted Nevus Keratosis, Seborrheic Melanocytes Machine Learning Skin Neoplasms Humans Dermoscopy Algorithms Neural Networks, Computer Diagnosis, Computer-Assisted Databases, Factual ROC Curve Melanoma
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