AIMC Topic: Predictive Value of Tests

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Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography.

American journal of respiratory and critical care medicine Jan 15, 2018
RATIONALE: Deep learning is a powerful tool that may allow for improved outcome prediction.
Databases, Factual Prognosis Tomography, X-Ray Computed Female Aged Survival Rate Humans Deep Learning Logistic Models Respiratory Distress Syndrome Predictive Value of Tests Smoking Respiratory Function Tests Pulmonary Disease, Chronic Obstructive Male Middle Aged Risk Assessment Severity of Illness Index
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EVALUATION OF THE BEHAVIOR OF LEVELS OF HMGB1 AND IL6 AS PREDICTORS OF INFECTION, ACUTE KIDNEY INJURY AND MORTALITY IN CIRRHOTIC PATIENTS WITH VARICEAL BLEEDING.

Arquivos de gastroenterologia Jan 1, 2018
BACKGROUND: Gastroesophageal varices and associated bleeding are a major cause of morbidity and mortality in cirrhotic patients.
HMGB1 Protein Female Humans Male Esophageal and Gastric Varices Interleukin-6 Middle Aged Gastrointestinal Hemorrhage Prospective Studies Liver Cirrhosis Biomarkers Predictive Value of Tests Acute Kidney Injury
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Automation of Detection of Cervical Cancer Using Convolutional Neural Networks.

Critical reviews in biomedical engineering Jan 1, 2018
Classification of digital cervical images acquired during visual inspection with acetic acid (VIA) is an important step in automated image-based cervical cancer detection. Many algorithms have been developed for classification of cervical images base...
Cervix Uteri Early Detection of Cancer Predictive Value of Tests Feasibility Studies Automation Female Reproducibility of Results Sensitivity and Specificity Uterine Cervical Neoplasms Image Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning Algorithms
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A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer's Disease Conversion in Individuals with Mild and Premild Cognitive Impairment.

Journal of Alzheimer's disease : JAD Jan 1, 2018
BACKGROUND: Available therapies for Alzheimer's disease (AD) can only alleviate and delay the advance of symptoms, with the greatest impact eventually achieved when provided at an early stage. Thus, early identification of which subjects at high risk...
Female Aged Aged, 80 and over Sensitivity and Specificity Male Disease Progression Humans Machine Learning Algorithms Brain Prognosis Predictive Value of Tests Cognitive Dysfunction Area Under Curve Logistic Models Alzheimer Disease Support Vector Machine Neuropsychological Tests Magnetic Resonance Imaging Atrophy Regression Analysis
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Machine Learning Algorithm Predicts Cardiac Resynchronization Therapy Outcomes: Lessons From the COMPANION Trial.

Circulation. Arrhythmia and electrophysiology Jan 1, 2018
BACKGROUND: Cardiac resynchronization therapy (CRT) reduces morbidity and mortality in heart failure patients with reduced left ventricular function and intraventricular conduction delay. However, individual outcomes vary significantly. This study so...
Predictive Value of Tests Heart Failure Cardiac Resynchronization Therapy Heart Conduction System Humans Machine Learning Male Algorithms Female Ventricular Function, Left Aged Stroke Volume Middle Aged Deep Learning Decision Making
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Risk Factors for Elevated Preoperative Alkaline Phosphatase in Patients with Refractory Secondary Hyperparathyroidism.

The American surgeon Dec 1, 2017
Elevated preoperative levels of alkaline phosphatase (ALP) in patients with refractory secondary hyperparathyroidism are correlated with postoperative hypocalcemia and mortality. The aim of this study was to identify the predictors of preoperative AL...
Phosphorus Humans Parathyroidectomy Biomarkers Length of Stay Female Hypocalcemia Risk Factors Age Factors Aged Predictive Value of Tests Adult Alkaline Phosphatase Male Hyperparathyroidism, Secondary Middle Aged
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Neural networks as a tool to predict syncope risk in the Emergency Department.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Nov 1, 2017
AIMS: There is no universally accepted tool for the risk stratification of syncope patients in the Emergency Department. The aim of this study was to investigate the short-term predictive accuracy of an artificial neural network (ANN) in stratifying ...
Predictive Value of Tests Triage Area Under Curve Emergency Service, Hospital Italy Syncope Cardiology Service, Hospital Middle Aged Risk Assessment Time Factors ROC Curve Electrocardiography Risk Factors Aged Aged, 80 and over Adult Male Humans Neural Networks, Computer Decision Support Techniques Databases, Factual Prognosis Clinical Decision-Making Female Reproducibility of Results
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Prediction of persistent post-surgery pain by preoperative cold pain sensitivity: biomarker development with machine-learning-derived analysis.

British journal of anaesthesia Oct 1, 2017
BACKGROUND: To prevent persistent post-surgery pain, early identification of patients at high risk is a clinical need. Supervised machine-learning techniques were used to test how accurately the patients' performance in a preoperatively performed ton...
Finland Humans Biomarkers Predictive Value of Tests Female Pain, Postoperative Reproducibility of Results Pain Risk Factors Supervised Machine Learning Sensitivity and Specificity Cold Temperature Breast Neoplasms Preoperative Care
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Machine Learning Approaches in Cardiovascular Imaging.

Circulation. Cardiovascular imaging Oct 1, 2017
Cardiovascular imaging technologies continue to increase in their capacity to capture and store large quantities of data. Modern computational methods, developed in the field of machine learning, offer new approaches to leveraging the growing volume ...
Workflow Image Interpretation, Computer-Assisted Automation Reproducibility of Results Humans Cardiovascular Diseases Machine Learning Severity of Illness Index Algorithms Predictive Value of Tests Prognosis Diagnostic Imaging
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Artificial neural network for prediction of in-hospital mortality after open repair of ruptured abdominal aortic aneurysm.

The Journal of cardiovascular surgery Oct 1, 2017
Humans Neural Networks, Computer Decision Support Techniques Databases, Factual Retrospective Studies Female Reproducibility of Results Risk Factors Aortic Aneurysm, Abdominal Vascular Surgical Procedures Aortic Rupture Time Factors Hospital Mortality Aged Treatment Outcome Aged, 80 and over Health Status Male Predictive Value of Tests Middle Aged Risk Assessment
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