AIMC Topic: ROC Curve

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Using natural language processing for identification of herpes zoster ophthalmicus cases to support population-based study.

Clinical & experimental ophthalmology Jul 4, 2018
IMPORTANCE: Diagnosis codes are inadequate for accurately identifying herpes zoster (HZ) ophthalmicus (HZO). There is significant lack of population-based studies on HZO due to the high expense of manual review of medical records.
Eye Infections, Viral Herpes Zoster Ophthalmicus Follow-Up Studies Population Surveillance Natural Language Processing Herpesvirus 3, Human Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Male Middle Aged Adolescent ROC Curve Humans Algorithms Retrospective Studies Female
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Using a deep learning network to recognise low back pain in static standing.

Ergonomics Jul 3, 2018
Low back pain (LBP) remains one of the most prevalent musculoskeletal disorders, while algorithms that able to recognise LBP patients from healthy population using balance performance data are rarely seen. In this study, human balance and body sway p...
Humans Biomechanical Phenomena Male Motion Low Back Pain Standing Position Ergonomics Electromagnetic Phenomena Middle Aged Case-Control Studies Deep Learning ROC Curve Feasibility Studies
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Network-based association analysis to infer new disease-gene relationships using large-scale protein interactions.

PloS one Jun 27, 2018
Protein-protein interactions integrated with disease-gene associations represent important information for revealing protein functions under disease conditions to improve the prevention, diagnosis, and treatment of complex diseases. Although several ...
Models, Biological Neural Networks, Computer ROC Curve Disease Susceptibility Algorithms Protein Interaction Maps Protein Interaction Mapping Reproducibility of Results Genetic Predisposition to Disease Gene Expression Profiling Genetic Association Studies Computational Biology
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Acute pain intensity monitoring with the classification of multiple physiological parameters.

Journal of clinical monitoring and computing Jun 26, 2018
Current acute pain intensity assessment tools are mainly based on self-reporting by patients, which is impractical for non-communicative, sedated or critically ill patients. In previous studies, various physiological signals have been observed qualit...
Humans Neural Networks, Computer Pain Measurement Electromyography Heart Rate Healthy Volunteers Respiration Hot Temperature Acute Pain Critical Illness Adult Galvanic Skin Response Female Reproducibility of Results Male Young Adult ROC Curve Monitoring, Physiologic Area Under Curve
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Automated detection of electroencephalography artifacts in human, rodent and canine subjects using machine learning.

Journal of neuroscience methods Jun 23, 2018
BACKGROUND: Electroencephalography (EEG) invariably contains extra-cranial artifacts that are commonly dealt with based on qualitative and subjective criteria. Failure to account for EEG artifacts compromises data interpretation.
Humans Brain Waves Rats, Sprague-Dawley Electroencephalography Signal Processing, Computer-Assisted Dogs Artifacts Machine Learning Animals ROC Curve Rats
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Discovering hidden knowledge through auditing clinical diagnostic knowledge bases.

Journal of biomedical informatics Jun 22, 2018
OBJECTIVE: Evaluate potential for data mining auditing techniques to identify hidden concepts in diagnostic knowledge bases (KB). Improving completeness enhances KB applications such as differential diagnosis and patient case simulation.
Knowledge Bases Data Mining Expert Systems Medical Informatics Diagnosis, Computer-Assisted ROC Curve Models, Statistical Diagnosis, Differential Bayes Theorem Humans Machine Learning Algorithms
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Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.

Gastroenterology Jun 18, 2018
BACKGROUND & AIMS: The benefit of colonoscopy for colorectal cancer prevention depends on the adenoma detection rate (ADR). The ADR should reflect the adenoma prevalence rate, which is estimated to be higher than 50% in the screening-age population. ...
Early Detection of Cancer Predictive Value of Tests Area Under Curve Feasibility Studies Colonic Polyps Colorectal Neoplasms Colonoscopy Diagnosis, Computer-Assisted ROC Curve Video Recording Image Interpretation, Computer-Assisted Observer Variation Adenomatous Polyps Humans Neural Networks, Computer Machine Learning Prognosis Reproducibility of Results
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Visualizing convolutional neural network protein-ligand scoring.

Journal of molecular graphics & modelling Jun 18, 2018
Protein-ligand scoring is an important step in a structure-based drug design pipeline. Selecting a correct binding pose and predicting the binding affinity of a protein-ligand complex enables effective virtual screening. Machine learning techniques c...
Molecular Conformation Neural Networks, Computer Algorithms Deep Learning ROC Curve Protein Binding Proteins Models, Molecular Ligands
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Factors influencing unsafe behaviors: A supervised learning approach.

Accident; analysis and prevention Jun 18, 2018
Despite its potential, the use of machine learning in safety studies had been limited. Considering machine learning's advantage in predictive accuracy, this study used a supervised learning approach to evaluate the relative importance of different co...
Humans Surveys and Questionnaires ROC Curve Logistic Models Decision Trees Social Norms Supervised Machine Learning Intention Construction Industry Risk-Taking
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Fetal health status prediction based on maternal clinical history using machine learning techniques.

Computer methods and programs in biomedicine Jun 14, 2018
BACKGROUND AND OBJECTIVE: Congenital anomalies are seen at 1-3% of the population, probabilities of which are tried to be found out primarily through double, triple and quad tests during pregnancy. Also, ultrasonographical evaluations of fetuses enha...
Logistic Models Support Vector Machine Humans Health Status Fetus Ultrasonography, Prenatal Machine Learning Area Under Curve Diagnosis, Computer-Assisted Algorithms Regression Analysis ROC Curve Perception Bayes Theorem Pregnancy Decision Trees Congenital Abnormalities Mobile Applications Internet Female Telemedicine Reproducibility of Results
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