AIMC Topic:
Predictive Value of Tests

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Artificial Neural Network and Genetic Algorithm Hybrid Intelligence for Predicting Thai Stock Price Index Trend.

Computational intelligence and neuroscience Nov 15, 2016
This study investigated the use of Artificial Neural Network (ANN) and Genetic Algorithm (GA) for prediction of Thailand's SET50 index trend. ANN is a widely accepted machine learning method that uses past data to predict future trend, while GA is an...
Financial Management Neural Networks, Computer Algorithms Forecasting Thailand Predictive Value of Tests Humans
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Early surgery after angiography in patients scheduled for valve replacement.

Asian cardiovascular & thoracic annals Nov 14, 2016
Background There are limited data regarding the risks of cardiac surgery early after coronary angiography in patients scheduled for isolated aortic and/or mitral valve replacement. Our aim was to evaluate the risk of early surgery after coronary angi...
Humans Biomarkers Retrospective Studies Acute Kidney Injury Aortic Valve Predictive Value of Tests Coronary Angiography Creatinine Patient Selection Mitral Valve Heart Valve Diseases Middle Aged Heart Valve Prosthesis Implantation Female Risk Assessment Time-to-Treatment Risk Factors Time Factors Renal Insufficiency Aged Hospital Mortality Aged, 80 and over Treatment Outcome Male
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Early Detection of Heart Failure Using Electronic Health Records: Practical Implications for Time Before Diagnosis, Data Diversity, Data Quantity, and Data Density.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Using electronic health records data to predict events and onset of diseases is increasingly common. Relatively little is known, although, about the tradeoffs between data requirements and model utility.
Case-Control Studies Incidence Time Factors ROC Curve Logistic Models Electronic Health Records Female Risk Factors Male Risk Assessment Pennsylvania Predictive Value of Tests Humans Area Under Curve Machine Learning Heart Failure Prognosis Data Mining Early Diagnosis
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Identifying Drug-Drug Interactions by Data Mining: A Pilot Study of Warfarin-Associated Drug Interactions.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Knowledge about drug-drug interactions commonly arises from preclinical trials, from adverse drug reports, or based on knowledge of mechanisms of action. Our aim was to investigate whether drug-drug interactions were discoverable without ...
Registries Drug Interactions Data Mining Atrial Fibrillation Drug Prescriptions Administrative Claims, Healthcare Polypharmacy Predictive Value of Tests Anticoagulants Blood Coagulation Humans Warfarin International Normalized Ratio Machine Learning Aged Retrospective Studies Aged, 80 and over Female Male Risk Factors Pilot Projects Logistic Models
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Procalcitonin as a potential predicting factor for prognosis in bacterial meningitis.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Oct 26, 2016
We investigated the potential role of serum procalcitonin in differentiating bacterial meningitis from viral meningitis, and in predicting the prognosis in patients with bacterial meningitis. This was a retrospective study of 80 patients with bacteri...
Middle Aged Aged Adolescent Humans Hospital Mortality Aged, 80 and over Biomarkers Diagnosis, Differential Young Adult Meningitis, Bacterial Prognosis Predictive Value of Tests Adult Calcitonin Retrospective Studies Male Female Meningitis, Viral
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A support vector machine model provides an accurate transcript-level-based diagnostic for major depressive disorder.

Translational psychiatry Oct 25, 2016
Major depressive disorder (MDD) is a critical cause of morbidity and disability with an economic cost of hundreds of billions of dollars each year, necessitating more effective treatment strategies and novel approaches to translational research. A no...
Adult Male Depressive Disorder, Major Gene Expression Profiling Case-Control Studies Support Vector Machine Humans Precision Medicine Female Predictive Value of Tests Genetic Markers Probability Likelihood Functions Models, Psychological
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Hierarchical Classification and System Combination for Automatically Identifying Physiological and Neuromuscular Laryngeal Pathologies.

Journal of voice : official journal of the Voice Foundation Oct 12, 2016
OBJECTIVES: Speech signal processing techniques have provided several contributions to pathologic voice identification, in which healthy and unhealthy voice samples are evaluated. A less common approach is to identify laryngeal pathologies, for which...
Voice Quality Humans Diagnosis, Computer-Assisted Edema Databases, Factual Speech Acoustics Support Vector Machine Female Vocal Cord Paralysis Predictive Value of Tests Male Vocal Cords Signal Processing, Computer-Assisted Case-Control Studies Voice Disorders Pattern Recognition, Automated Speech Production Measurement
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Beatquency domain and machine learning improve prediction of cardiovascular death after acute coronary syndrome.

Scientific reports Oct 6, 2016
Frequency domain measures of heart rate variability (HRV) are associated with adverse events after a myocardial infarction. However, patterns in the traditional frequency domain (measured in Hz, or cycles per second) may capture different cardiac phe...
Signal Processing, Computer-Assisted Death Acute Coronary Syndrome Humans Machine Learning Predictive Value of Tests Electroencephalography
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Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data.

Human brain mapping Oct 4, 2016
An important focus of studies of individuals at ultra-high risk (UHR) for psychosis has been to identify biomarkers to predict which individuals will transition to psychosis. However, the majority of individuals will prove to be resilient and go on t...
Humans ROC Curve Risk Factors Machine Learning Image Processing, Computer-Assisted Brain Male Magnetic Resonance Imaging Psychiatric Status Rating Scales Predictive Value of Tests Adolescent Psychotic Disorders Child Neuropsychological Tests
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Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.

Computational and mathematical methods in medicine Sep 26, 2016
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants re...
Patient Discharge Telemedicine Spain Self-Injurious Behavior Text Messaging Psychometrics Follow-Up Studies Mental Health Services Predictive Value of Tests Natural Language Processing Reminder Systems Hospitals, Psychiatric Female Reproducibility of Results Hospitalization Young Adult Adult Sensitivity and Specificity Male Middle Aged Suicide, Attempted Diagnosis, Computer-Assisted Surveys and Questionnaires Humans Machine Learning Algorithms Mental Disorders
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