AIMC Topic: Area Under Curve

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Predicting Zoonotic Risk of Influenza A Viruses from Host Tropism Protein Signature Using Random Forest.

International journal of molecular sciences May 25, 2017
Influenza A viruses remain a significant health problem, especially when a novel subtype emerges from the avian population to cause severe outbreaks in humans. Zoonotic viruses arise from the animal population as a result of mutations and reassortmen...
Orthomyxoviridae Infections Zoonoses Viral Tropism Host Specificity Disease Outbreaks Humans Influenza in Birds Databases, Genetic Machine Learning Birds Area Under Curve Influenza A virus Influenza, Human Retrospective Studies Host-Pathogen Interactions Models, Theoretical Reproducibility of Results Viral Proteins Animals
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Development of machine learning models for diagnosis of glaucoma.

PloS one May 23, 2017
The study aimed to develop machine learning models that have strong prediction power and interpretability for diagnosis of glaucoma based on retinal nerve fiber layer (RNFL) thickness and visual field (VF). We collected various candidate features fro...
Adult Male Humans Middle Aged Diagnosis, Computer-Assisted Decision Trees Glaucoma ROC Curve Area Under Curve Machine Learning Retina Female Datasets as Topic Visual Field Tests
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Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework.

Scientific reports May 10, 2017
Precision medicine approaches rely on obtaining precise knowledge of the true state of health of an individual patient, which results from a combination of their genetic risks and environmental exposures. This approach is currently limited by the lac...
Phenotype Precision Medicine Tomography, X-Ray Computed Radiology Reproducibility of Results Task Performance and Analysis Deep Learning Risk Factors Kaplan-Meier Estimate ROC Curve Mortality Image Processing, Computer-Assisted Longevity Humans Area Under Curve Diagnostic Imaging
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Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods.

Artificial intelligence in medicine Apr 27, 2017
BACKGROUND AND OBJECTIVES: Labeling instances by domain experts for classification is often time consuming and expensive. To reduce such labeling efforts, we had proposed the application of active learning (AL) methods, introduced our CAESAR-ALE fram...
Observer Variation Learning Curve Severity of Illness Index Time Factors Area Under Curve Supervised Machine Learning Data Mining Humans Phenotype Electronic Health Records Reproducibility of Results
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Metastasis detection from whole slide images using local features and random forests.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Apr 20, 2017
Digital pathology has led to a demand for automated detection of regions of interest, such as cancerous tissue, from scanned whole slide images. With accurate methods using image analysis and machine learning, significant speed-up, and savings in cos...
Humans Machine Learning Software Lymph Nodes Lymphatic Metastasis Area Under Curve Lymphocytes Image Interpretation, Computer-Assisted Female Adult Breast Neoplasms Middle Aged ROC Curve Cell Nucleus Histocytochemistry Eosine Yellowish-(YS) Hematoxylin
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Driver behavior profiling: An investigation with different smartphone sensors and machine learning.

PloS one Apr 10, 2017
Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver behavior profiling tries to understand and positively impact driver behavior. Usually driver behavior profiling tasks involve automated collection of driving da...
Area Under Curve Bayes Theorem Automobile Driving Accelerometry Behavior Humans Neural Networks, Computer Machine Learning ROC Curve Smartphone
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Use of a machine learning framework to predict substance use disorder treatment success.

PloS one Apr 10, 2017
There are several methods for building prediction models. The wealth of currently available modeling techniques usually forces the researcher to judge, a priori, what will likely be the best method. Super learning (SL) is a methodology that facilitat...
Humans Treatment Outcome Neural Networks, Computer Regression Analysis Machine Learning Diagnosis, Computer-Assisted Substance-Related Disorders Databases, Factual Area Under Curve Female Length of Stay Prognosis Adolescent Young Adult ROC Curve Adult Socioeconomic Factors Male Middle Aged
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Discriminating cognitive status in Parkinson's disease through functional connectomics and machine learning.

Scientific reports Mar 28, 2017
There is growing interest in the potential of neuroimaging to help develop non-invasive biomarkers in neurodegenerative diseases. In this study, connection-wise patterns of functional connectivity were used to distinguish Parkinson's disease patients...
Male Middle Aged Case-Control Studies Cognitive Dysfunction ROC Curve Humans Magnetic Resonance Imaging Parkinson Disease Machine Learning Area Under Curve Neuropsychological Tests Brain Antiparkinson Agents Female Connectome Aged
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Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD.

Translational psychiatry Mar 21, 2017
To date, studies of biological risk factors have revealed inconsistent relationships with subsequent post-traumatic stress disorder (PTSD). The inconsistent signal may reflect the use of data analytic tools that are ill equipped for modeling the comp...
Adrenocorticotropic Hormone Linear Models Urine Wounds and Injuries Psychological Trauma Norepinephrine Receptors, Glucocorticoid Machine Learning Hydrocortisone Algorithms Saliva Longitudinal Studies Female Lymphocytes Male Blood Pressure Heart Rate Young Adult Risk Assessment Area Under Curve Adult Stress Disorders, Post-Traumatic Emergency Service, Hospital ROC Curve Humans Support Vector Machine
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A Natural Language Processing Framework for Assessing Hospital Readmissions for Patients With COPD.

IEEE journal of biomedical and health informatics Mar 17, 2017
With the passage of recent federal legislation, many medical institutions are now responsible for reaching target hospital readmission rates. Chronic diseases account for many hospital readmissions and chronic obstructive pulmonary disease has been r...
Natural Language Processing Area Under Curve Humans Patient Readmission Medical Informatics Algorithms Pulmonary Disease, Chronic Obstructive Decision Support Systems, Clinical
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