AI Medical Compendium Topic:
Area Under Curve

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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...
Critical Illness Female Reproducibility of Results Young Adult Adult Male Humans Neural Networks, Computer Healthy Volunteers Respiration Hot Temperature Acute Pain Galvanic Skin Response ROC Curve Monitoring, Physiologic Area Under Curve Pain Measurement Electromyography Heart Rate
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A novel integrated action crossing method for drug-drug interaction prediction in non-communicable diseases.

Computer methods and programs in biomedicine Jun 22, 2018
BACKGROUND AND OBJECTIVE: Drug-drug interaction (DDI) is one of the main causes of toxicity and treatment inefficacy. This work focuses on non-communicable diseases (NCDs), the non-transmissible and long-lasting diseases since they are the leading ca...
Simvastatin False Positive Reactions Quantitative Structure-Activity Relationship Algorithms Databases, Factual Computer Simulation Reproducibility of Results Support Vector Machine Cluster Analysis Area Under Curve Noncommunicable Diseases Drug Interactions Probability Cytochrome P-450 Enzyme System Humans Neural Networks, Computer Machine Learning
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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. ...
Humans Feasibility Studies Colonic Polyps Video Recording Image Interpretation, Computer-Assisted Observer Variation Adenomatous Polyps Neural Networks, Computer Colonoscopy Machine Learning Diagnosis, Computer-Assisted Prognosis ROC Curve Reproducibility of Results Early Detection of Cancer Colorectal Neoplasms Predictive Value of Tests Area Under Curve
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A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set.

Journal of biomedical informatics Jun 15, 2018
Recently, recurrent neural networks (RNNs) have been applied in predicting disease onset risks with Electronic Health Record (EHR) data. While these models demonstrated promising results on relatively small data sets, the generalizability and transfe...
Male Middle Aged Case-Control Studies Deep Learning Logistic Models Humans Area Under Curve Neural Networks, Computer Electronic Health Records Algorithms Female Databases, Factual Heart Failure Reproducibility of Results Computer Simulation Medical Informatics Aged Aged, 80 and over
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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...
Fetus Decision Trees Perception Area Under Curve Congenital Abnormalities Bayes Theorem Internet Telemedicine Algorithms Pregnancy Female Reproducibility of Results Ultrasonography, Prenatal Humans ROC Curve Diagnosis, Computer-Assisted Machine Learning Mobile Applications Logistic Models Support Vector Machine Health Status Regression Analysis
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Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.

Medical physics Jun 13, 2018
PURPOSE: Machine learning classification algorithms (classifiers) for prediction of treatment response are becoming more popular in radiotherapy literature. General Machine learning literature provides evidence in favor of some classifier families (r...
Prognosis Neoplasms Logistic Models Decision Trees Area Under Curve Chemoradiotherapy Humans Neural Networks, Computer Machine Learning Software
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Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme.

Computer methods and programs in biomedicine May 29, 2018
BACKGROUND: In the time since the launch of a nationwide general health check-up and instruction program in Japan in 2008, interest in the formulation of an effective and efficient strategy to improve the participation rate has been growing. The aim ...
Patient Compliance ROC Curve Humans Female Logistic Models Machine Learning Japan Aged Algorithms Support Vector Machine Normal Distribution Adult Databases, Factual Health Status Sensitivity and Specificity Retrospective Studies Area Under Curve Male Middle Aged
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Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.

Journal of clinical monitoring and computing May 24, 2018
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension, critically low blood pressure, is one of the most dangerous secondary insults and is related to poor outcome in patients. The overall aim of this stu...
False Positive Reactions Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Software Databases, Factual Humans Prospective Studies Area Under Curve Middle Aged Neural Networks, Computer Intensive Care Units Sample Size Machine Learning Diagnosis, Computer-Assisted Female Bayes Theorem Pilot Projects Signal Processing, Computer-Assisted Adolescent Hypotension Brain Injuries, Traumatic Critical Care Brain Injuries
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Development of machine learning models to predict inhibition of 3-dehydroquinate dehydratase.

Chemical biology & drug design May 18, 2018
In this study, we describe the development of new machine learning models to predict inhibition of the enzyme 3-dehydroquinate dehydratase (DHQD). This enzyme is the third step of the shikimate pathway and is responsible for the synthesis of chorisma...
Humans Binding Sites Machine Learning Protein Structure, Tertiary Molecular Docking Simulation ROC Curve Hydro-Lyases Area Under Curve Shikimic Acid Static Electricity
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Machine Learning for Outcome Prediction in Electroencephalograph (EEG)-Monitored Children in the Intensive Care Unit.

Journal of child neurology May 13, 2018
The aim of this study was to evaluate the performance of models predicting in-hospital mortality in critically ill children undergoing continuous electroencephalography (cEEG) in the intensive care unit (ICU). We evaluated the performance of machine ...
Adolescent Child, Preschool Child Hospital Mortality Area Under Curve Electroencephalography Epilepsy Seizures Critical Care Neurophysiological Monitoring Infant, Newborn Young Adult Humans Sensitivity and Specificity Machine Learning Male Prognosis Infant Female Diagnosis, Computer-Assisted
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