AIMC Topic: Predictive Value of Tests

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Natural language processing to ascertain two key variables from operative reports in ophthalmology.

Pharmacoepidemiology and drug safety Jan 3, 2017
PURPOSE: Antibiotic prophylaxis is critical to ophthalmology and other surgical specialties. We performed natural language processing (NLP) of 743 838 operative notes recorded for 315 246 surgeries to ascertain two variables needed to study the compa...
Humans Anti-Bacterial Agents Injections, Intraocular Antibiotic Prophylaxis Intraoperative Complications Confounding Factors, Epidemiologic Comparative Effectiveness Research Posterior Capsular Rupture, Ocular Predictive Value of Tests Natural Language Processing Cataract Extraction Feasibility Studies Surgical Wound Infection
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Epicardial adipose tissue and myocardial ischemia assessed by computed tomography perfusion imaging and invasive fractional flow reserve.

Journal of cardiovascular computed tomography Dec 30, 2016
BACKGROUND: Epicardial adipose tissue (EAT) is a metabolically active fat depot that is associated with incident coronary artery disease (CAD) and major adverse cardiovascular events. The relationship between EAT and myocardial ischemia remains uncle...
Tomography, X-Ray Computed Coronary Vessels Female Adipose Tissue Aged Myocardial Perfusion Imaging Humans Male Predictive Value of Tests Coronary Stenosis Coronary Angiography Fractional Flow Reserve, Myocardial Middle Aged Radiographic Image Interpretation, Computer-Assisted Pericardium Coronary Artery Disease
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Global quantification of left ventricular myocardial perfusion at dynamic CT imaging: Prognostic value.

Journal of cardiovascular computed tomography Dec 28, 2016
BACKGROUND: There is no published data on the prognostic value of global myocardial perfusion values at stress dynamic CT myocardial perfusion imaging (CTMPI).
Predictive Value of Tests Coronary Angiography Registries Coronary Artery Disease Myocardial Infarction Proportional Hazards Models Kaplan-Meier Estimate Asia Myocardial Revascularization Computed Tomography Angiography Middle Aged Risk Assessment Severity of Illness Index United States Europe Female Risk Factors Coronary Circulation Humans Hospitalization Myocardial Perfusion Imaging Prognosis Aged Angina, Unstable Retrospective Studies Male Coronary Stenosis
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Contralateral artery enlargement predicts carotid plaque progression based on machine learning algorithm models in apoE mice.

Biomedical engineering online Dec 28, 2016
BACKGROUND: This study specifically focused on anatomical MRI characterization of the low shear stress-induced atherosclerotic plaque in mice. We used machine learning algorithms to analyze multiple correlation factors of plaque to generate predictiv...
Magnetic Resonance Imaging Apolipoproteins E Ultrasonography, Doppler Machine Learning Mice, Inbred C57BL Algorithms Carotid Arteries Decision Making Male Reproducibility of Results Plaque, Atherosclerotic Lipids Sensitivity and Specificity Disease Progression Blood Flow Velocity Predictive Value of Tests Animals Ultrasonography Mice, Transgenic Mice Support Vector Machine
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Correlating Quantitative Fecal Immunochemical Test Results with Neoplastic Findings on Colonoscopy in a Population-Based Colorectal Cancer Screening Program: A Prospective Study.

Canadian journal of gastroenterology & hepatology Dec 26, 2016
. The Canadian Partnership Against Cancer (CPAC) recommends a fecal immunochemical test- (FIT-) positive predictive value (PPV) for all adenomas of ≥50%. We sought to assess FIT performance among average-risk participants of the British Columbia Colo...
Reproducibility of Results Colorectal Neoplasms Male Middle Aged Colonoscopy Humans Databases, Factual Prospective Studies Female Immunohistochemistry British Columbia Feces Mass Screening Early Detection of Cancer Adenoma Predictive Value of Tests
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TNF-α increases in the CSF of children with acute lymphoblastic leukemia before CNS relapse.

Blood cells, molecules & diseases Dec 23, 2016
There is scarce information regarding the concentration of cytokines in cerebrospinal fluid (CSF) of children with acute lymphoblastic leukemia (ALL) and their clinical association with CNS status. A prospective analysis of 40 patients <18years with ...
Adolescent Time Factors Child, Preschool Child ROC Curve Interleukin-6 Prospective Studies Female Male Infant Predictive Value of Tests Chemokine CCL2 Precursor Cell Lymphoblastic Leukemia-Lymphoma Recurrence Central Nervous System Neoplasms Humans Tumor Necrosis Factor-alpha Cytokines
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Improving diagnostic recognition of primary hyperparathyroidism with machine learning.

Surgery Dec 15, 2016
BACKGROUND: Parathyroidectomy offers the only cure for primary hyperparathyroidism, but today only 50% of primary hyperparathyroidism patients are referred for operation, in large part, because the condition is widely under-recognized. The diagnosis ...
Parathyroidectomy Quality Improvement Hyperparathyroidism, Primary Case-Control Studies ROC Curve Humans Predictive Value of Tests Machine Learning Bayes Theorem Algorithms Parathyroid Hormone Databases, Factual Female Sensitivity and Specificity Male Middle Aged Severity of Illness Index
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Serum concentration of vascular endothelial growth factor and depth of trophoblastic invasion in ampullary ectopic pregnancy.

Clinics (Sao Paulo, Brazil) Dec 1, 2016
OBJECTIVE:: To evaluate the association between the depth of trophoblastic infiltration and serum vascular endothelial growth factorconcentration in patients with an ampullary pregnancy.
Predictive Value of Tests Vascular Endothelial Growth Factor A Gestational Age Statistics, Nonparametric Fallopian Tubes Adult Pregnancy, Tubal Cross-Sectional Studies Trophoblasts Adolescent Humans Child Prospective Studies ROC Curve Pregnancy Female Young Adult
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Random Subspace Aggregation for Cancer Prediction with Gene Expression Profiles.

BioMed research international Nov 24, 2016
. Precisely predicting cancer is crucial for cancer treatment. Gene expression profiles make it possible to analyze patterns between genes and cancers on the genome-wide scale. Gene expression data analysis, however, is confronted with enormous chall...
Humans Machine Learning Animals Neoplasms Gene Expression Profiling Gene Expression Regulation, Neoplastic Models, Genetic Predictive Value of Tests Databases, Nucleic Acid
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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 Humans Predictive Value of Tests
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