AIMC Topic: ROC Curve

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Machine learning without borders? An adaptable tool to optimize mortality prediction in diverse clinical settings.

The journal of trauma and acute care surgery Nov 1, 2018
BACKGROUND: Mortality prediction aids clinical decision making and is necessary for quality improvement initiatives. Validated metrics rely on prespecified variables and often require advanced diagnostics, which are unfeasible in resource-constrained...
Forecasting Female Adult Male Middle Aged Humans Machine Learning South Africa Developing Countries Partial Thromboplastin Time Wounds and Injuries Cameroon Developed Countries ROC Curve United States Health Services Accessibility Area Under Curve
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3D deep learning for detecting pulmonary nodules in CT scans.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: To demonstrate and test the validity of a novel deep-learning-based system for the automated detection of pulmonary nodules.
Sensitivity and Specificity Lung Diagnosis, Computer-Assisted Deep Learning ROC Curve Humans Tomography, X-Ray Computed Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted
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Unique Clinical Language Patterns Among Expert Vestibular Providers Can Predict Vestibular Diagnoses.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology Oct 1, 2018
OBJECTIVE: To identify novel language usage by expert providers predictive of specific vestibular conditions.
Retrospective Studies Female Adult Sensitivity and Specificity Male Humans Algorithms Practice Patterns, Physicians' Middle Aged Medical History Taking ROC Curve Vestibular Diseases Natural Language Processing Otolaryngologists Bayes Theorem
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Development and Validation of a Deep Neural Network Model for Prediction of Postoperative In-hospital Mortality.

Anesthesiology Oct 1, 2018
WHAT WE ALREADY KNOW ABOUT THIS TOPIC: WHAT THIS ARTICLE TELLS US THAT IS NEW: BACKGROUND:: The authors tested the hypothesis that deep neural networks trained on intraoperative features can predict postoperative in-hospital mortality.
Neural Networks, Computer ROC Curve Machine Learning Humans Predictive Value of Tests Adult Female Aged Male Middle Aged Postoperative Complications Hospital Mortality
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Statistical Learning Methods to Determine Immune Correlates of Herpes Zoster in Vaccine Efficacy Trials.

The Journal of infectious diseases Sep 22, 2018
Using Super Learner, a machine learning statistical method, we assessed varicella zoster virus-specific glycoprotein-based enzyme-linked immunosorbent assay (gpELISA) antibody titer as an individual-level signature of herpes zoster (HZ) risk in the Z...
Antibodies, Viral Models, Statistical Randomized Controlled Trials as Topic Area Under Curve Data Interpretation, Statistical Herpes Zoster Herpes Zoster Vaccine Female Male Middle Aged Case-Control Studies ROC Curve Humans Machine Learning
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Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks.

Anticancer research Sep 1, 2018
BACKGROUND: It is unclear whether radiomic phenotypes of brain metastases (BM) are related to radiation therapy prognosis. This study assessed whether a convolutional neural network (CNN)-based radiomics model which learned computer tomography (CT) i...
Radiographic Image Interpretation, Computer-Assisted Radiosurgery Humans Neural Networks, Computer Adult Female Time Factors Brain Neoplasms Reproducibility of Results Machine Learning Male ROC Curve Aged Decision Support Techniques Middle Aged Aged, 80 and over Treatment Outcome Young Adult Tomography, X-Ray Computed Adolescent Predictive Value of Tests Clinical Decision-Making Area Under Curve
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Macular Vessel Density and Ganglion Cell/Inner Plexiform Layer Thickness and Their Combinational Index Using Artificial Intelligence.

Journal of glaucoma Sep 1, 2018
PURPOSE: To evaluate the relationship between macular vessel density and ganglion cell to inner plexiform layer thickness (GCIPLT) and to compare their diagnostic performance. We attempted to develop a new combined parameter using an artificial neura...
Retinal Vessels Glaucoma, Open-Angle Intraocular Pressure Male Middle Aged Case-Control Studies ROC Curve Area Under Curve Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Artificial Intelligence Female Aged Adult Cross-Sectional Studies Humans Neural Networks, Computer
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Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.

Annals of oncology : official journal of the European Society for Medical Oncology Aug 1, 2018
BACKGROUND: Deep learning convolutional neural networks (CNN) may facilitate melanoma detection, but data comparing a CNN's diagnostic performance to larger groups of dermatologists are lacking.
Image Processing, Computer-Assisted Skin Dermoscopy Dermatologists Cross-Sectional Studies Humans International Cooperation Deep Learning Retrospective Studies Clinical Competence Melanoma ROC Curve Skin Neoplasms
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Machine learning approach for early detection of autism by combining questionnaire and home video screening.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2018
BACKGROUND: Existing screening tools for early detection of autism are expensive, cumbersome, time- intensive, and sometimes fall short in predictive value. In this work, we sought to apply Machine Learning (ML) to gold standard clinical data obtaine...
Videotape Recording ROC Curve Humans Early Diagnosis Machine Learning Algorithms Autistic Disorder Surveys and Questionnaires Methods Child, Preschool
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Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective.

Journal of digital imaging Aug 1, 2018
Mammographic breast density has been established as an independent risk marker for developing breast cancer. Breast density assessment is a routine clinical need in breast cancer screening and current standard is using the Breast Imaging and Reportin...
Observer Variation Humans Breast Density Neural Networks, Computer Databases, Factual ROC Curve Retrospective Studies Female United States Breast Neoplasms Early Detection of Cancer Deep Learning Mammography Cohort Studies Area Under Curve
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