AIMC Topic: Predictive Value of Tests

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Validation of an Automated Immunoturbidimetric Assay for Fibrinogen/Fibrin Degradation Products Measurement and its Correlation to a Semi-Quantitative Latex Agglutination Test.

Clinical laboratory Nov 1, 2016
BACKGROUND: Laboratory determination of fibrinogen/fibrin degradation product (FDP) levels is important as a hyperfibrinolytic state marker. The aim of the study was to verify the analytical performance of an automated immunoturbidimetric assay (AIMT...
Predictive Value of Tests Humans Blood Coagulation Immunoturbidimetry Automation, Laboratory Disseminated Intravascular Coagulation Latex Fixation Tests Biomarkers Blood Coagulation Disorders Reproducibility of Results Linear Models Case-Control Studies Fibrin Fibrinogen Degradation Products
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Serum Amyloid P-component Level May be a Biomarker for Lung Toxicities and Overall Survival after Thoracic Radiotherapy for Non-small Cell Lung Cancer.

Clinical laboratory Nov 1, 2016
BACKGROUND: Serum amyloid P-component (SAP) contributes to the clearance of apoptotic cells. As one of the main acute-phase reactants, SAP regulates key aspects of inflammation and sets a threshold for immune cell activation. This study aimed to inve...
Serum Amyloid P-Component Pulmonary Fibrosis Time Factors Humans Proportional Hazards Models Lung Neoplasms Risk Factors Multivariate Analysis Enzyme-Linked Immunosorbent Assay Biomarkers, Tumor Kaplan-Meier Estimate Treatment Outcome Radiation Pneumonitis Carcinoma, Non-Small-Cell Lung Predictive Value of Tests
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Elevated Presepsin Levels are Associated with Severity and Prognosis of Severe Acute Pancreatitis.

Clinical laboratory Sep 1, 2016
BACKGROUND: Current clinical scoring systems are insufficient in the early identification of severe acute pancreatitis (SAP) patients at risk of developing potentially lethal complications. This present study was designed to evaluate the relationship...
APACHE Lipopolysaccharide Receptors Pancreatitis Humans Biomarkers ROC Curve Male Prognosis Multiple Organ Failure Middle Aged Retrospective Studies Predictive Value of Tests Severity of Illness Index Female Area Under Curve Case-Control Studies Acute Disease Hospital Mortality Peptide Fragments
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Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy.

Circulation. Cardiovascular imaging Jun 1, 2016
BACKGROUND: Associating a patient's profile with the memories of prototypical patients built through previous repeat clinical experience is a key process in clinical judgment. We hypothesized that a similar process using a cognitive computing tool wo...
Cardiomyopathy, Restrictive Reproducibility of Results Pericarditis, Constrictive Aged Humans Male Area Under Curve Machine Learning Ventricular Function, Left Middle Aged Myocardium Algorithms Stroke Volume Case-Control Studies Biopsy Decision Support Techniques Feasibility Studies Pilot Projects Female Echocardiography, Doppler ROC Curve Diagnosis, Differential Predictive Value of Tests
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Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data.

JAMA psychiatry Jun 1, 2016
IMPORTANCE: Electroconvulsive therapy (ECT) is one of the most effective treatments for severe depression. However, biomarkers that accurately predict a response to ECT remain unidentified.
Humans Machine Learning Prospective Studies Biomarkers Magnetic Resonance Imaging Predictive Value of Tests Combined Modality Therapy Antidepressive Agents Gyrus Cinguli Electroconvulsive Therapy Female Adult Male Middle Aged Depressive Disorder, Major Treatment Outcome
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Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network.

Journal of healthcare engineering Jan 1, 2016
For hospitals' admission management, the ability to predict length of stay (LOS) as early as in the preadmission stage might be helpful to monitor the quality of inpatient care. This study is to develop artificial neural network (ANN) models to predi...
Predictive Value of Tests Coronary Artery Disease Myocardial Infarction Male Heart Failure Middle Aged Patient Admission Length of Stay Treatment Outcome Taiwan Humans Neural Networks, Computer Aged Aged, 80 and over Young Adult Adult
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Intraoperative Diagnosis Support Tool for Serous Ovarian Tumors Based on Microarray Data Using Multicategory Machine Learning.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society Jan 1, 2016
OBJECTIVES: Serous borderline ovarian tumors (SBOTs) are a subtype of serous ovarian carcinoma with atypical proliferation. Frozen-section diagnosis has been used as an intraoperative diagnosis tool in supporting the fertility-sparing surgery by diag...
Neoplasm Staging Carcinoma, Ovarian Epithelial Immunoenzyme Techniques Neoplasms, Glandular and Epithelial Cystadenocarcinoma, Serous Support Vector Machine Databases, Genetic Ovarian Neoplasms Predictive Value of Tests Blotting, Western Machine Learning Prognosis Female Survival Rate Biomarkers, Tumor Gene Expression Profiling Monitoring, Intraoperative Real-Time Polymerase Chain Reaction Reverse Transcriptase Polymerase Chain Reaction RNA, Messenger Gene Expression Regulation, Neoplastic Humans
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Machine learning models in breast cancer survival prediction.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2016
BACKGROUND: Breast cancer is one of the most common cancers with a high mortality rate among women. With the early diagnosis of breast cancer survival will increase from 56% to more than 86%. Therefore, an accurate and reliable system is necessary fo...
Humans Young Adult Adult Survival Rate Sensitivity and Specificity Breast Neoplasms Male Machine Learning Female Reproducibility of Results Aged Aged, 80 and over Predictive Value of Tests Middle Aged Diagnosis, Computer-Assisted Adolescent Models, Theoretical Early Detection of Cancer
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An approach to the diagnosis and management of a case presenting with recurrent hypomagnesemia secondary to the chronic use of a proton pump inhibitor.

Magnesium research Dec 1, 2015
PURPOSE: Magnesium is an important electrolyte for very many cell functions and its deficiency may lead to a wide spectrum of diseases. We report a clinical case of hypomagnesemia resulting from the chronic use of a proton pump inhibitor (PPI). PPIs ...
Predictive Value of Tests Magnesium Arrhythmias, Cardiac Hypocalcemia Metabolic Diseases Female Down-Regulation Humans Risk Factors Proton Pump Inhibitors Biomarkers Aged Hypoparathyroidism Electrocardiography Omeprazole Treatment Outcome Paresthesia Diagnosis, Differential
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Using Time Series Analysis to Predict Cardiac Arrest in a PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Nov 1, 2015
OBJECTIVES: To build and test cardiac arrest prediction models in a PICU, using time series analysis as input, and to measure changes in prediction accuracy attributable to different classes of time series data.
Predictive Value of Tests Area Under Curve Linear Models Multivariate Analysis Humans Child, Preschool Neural Networks, Computer Heart Arrest Retrospective Studies Child Young Adult Intensive Care Units, Pediatric Infant ROC Curve Adolescent Support Vector Machine Decision Trees
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