AIMC Topic: Predictive Value of Tests
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Support vector machine-based assessment of the T-wave morphology improves long QT syndrome diagnosis.
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, 2018
AIMS: Diagnosing long QT syndrome (LQTS) is challenging due to a considerable overlap of the QTc-interval between LQTS patients and healthy controls. The aim of this study was to investigate the added value of T-wave morphology markers obtained from ...
Predictive Value of Tests
Signal Processing, Computer-Assisted
Long QT Syndrome
Heart Conduction System
Heart Rate
Genetic Predisposition to Disease
Electrocardiography
Support Vector Machine
Action Potentials
Humans
Retrospective Studies
Phenotype
Reproducibility of Results
Risk Factors
Time Factors
Development of machine learning algorithms for prediction of discharge disposition after elective inpatient surgery for lumbar degenerative disc disorders.
Neurosurgical focus
Nov 1, 2018
OBJECTIVEIf not anticipated and prearranged, hospital stay can be prolonged while the patient awaits placement in a rehabilitation unit or skilled nursing facility following elective spine surgery. Preoperative prediction of the likelihood of postope...
Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning.
Neurosurgical focus
Nov 1, 2018
OBJECTIVEFlow diverters (FDs) are designed to occlude intracranial aneurysms (IAs) while preserving flow to essential arteries. Incomplete occlusion exposes patients to risks of thromboembolic complications and rupture. A priori assessment of FD trea...
A machine learning approach to predict early outcomes after pituitary adenoma surgery.
Neurosurgical focus
Nov 1, 2018
OBJECTIVEPituitary adenomas occur in a heterogeneous patient population with diverse perioperative risk factors, endocrinopathies, and other tumor-related comorbidities. This heterogeneity makes predicting postoperative outcomes challenging when usin...
Utility of deep neural networks in predicting gross-total resection after transsphenoidal surgery for pituitary adenoma: a pilot study.
Neurosurgical focus
Nov 1, 2018
OBJECTIVEGross-total resection (GTR) is often the primary surgical goal in transsphenoidal surgery for pituitary adenoma. Existing classifications are effective at predicting GTR but are often hampered by limited discriminatory ability in moderate ca...
Predicting Pressure Injury in Critical Care Patients: A Machine-Learning Model.
American journal of critical care : an official publication, American Association of Critical-Care Nurses
Nov 1, 2018
BACKGROUND: Hospital-acquired pressure injuries are a serious problem among critical care patients. Some can be prevented by using measures such as specialty beds, which are not feasible for every patient because of costs. However, decisions about wh...
Utility of Deep Learning Methods for Referability Classification of Age-Related Macular Degeneration.
JAMA ophthalmology
Nov 1, 2018
This study uses fundus images from a national data set to assess 2 deep learning methods for referability classification of age-related macular degeneration.
Fully Automated Echocardiogram Interpretation in Clinical Practice.
Circulation
Oct 16, 2018
BACKGROUND: Automated cardiac image interpretation has the potential to transform clinical practice in multiple ways, including enabling serial assessment of cardiac function by nonexperts in primary care and rural settings. We hypothesized that adva...
Machine-Assisted Genotype Update System (MAGUS) for Inherited Cardiomyopathies.
Circulation. Cardiovascular quality and outcomes
Oct 1, 2018
Arrhythmogenic Right Ventricular Dysplasia
Cardiomyopathy, Hypertrophic, Familial
Heredity
Reproducibility of Results
Computational Biology
Genetic Variation
Risk Factors
Humans
Predictive Value of Tests
High-Throughput Nucleotide Sequencing
Risk Assessment
Machine Learning
Genetic Testing
Genetic Predisposition to Disease
Pedigree
Data Mining
Phenotype
Cardiomyopathy, Dilated
Prognosis
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