AIMC Topic: Prognosis

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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 ...
Middle Aged Risk Assessment Time Factors ROC Curve Aged Aged, 80 and over Adult Male Emergency Service, Hospital Italy Syncope Cardiology Service, Hospital Electrocardiography Predictive Value of Tests Triage Area Under Curve Neural Networks, Computer Decision Support Techniques Databases, Factual Prognosis Clinical Decision-Making Female Reproducibility of Results Risk Factors Humans
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Machine learning: Calculating disease.

Nature Oct 18, 2017
Magnetic Resonance Imaging Natural Language Processing Amyotrophic Lateral Sclerosis Survival Analysis Reproducibility of Results Disease Progression Case-Control Studies Speech Early Diagnosis Pattern Recognition, Automated Clinical Trials as Topic Humans Machine Learning Brain Prognosis
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[Perfusion-Metabolic Myocardial Scintigraphy in Prognosis of Left Ventricular Remodeling After Complex Surgical Treatment of Ischemic Cardiomyopathy].

Kardiologiia Oct 1, 2017
PURPOSE: To study capabilities of perfusion-metabolic myocardial scintigraphy for prediction of the left ventricular (LV) reverse remodeling after comprehensive surgical treatment of ischemic cardiomyopathy (ICMP).
Cardiomyopathies Humans Myocardial Perfusion Imaging Prognosis Treatment Outcome Stroke Volume Ventricular Remodeling Middle Aged Ventricular Dysfunction, Left Myocardial Ischemia
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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 ...
Machine Learning Algorithms Prognosis Reproducibility of Results Humans Workflow Cardiovascular Diseases Image Interpretation, Computer-Assisted Severity of Illness Index Automation Predictive Value of Tests Diagnostic Imaging
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Image-based surrogate biomarkers for molecular subtypes of colorectal cancer.

Bioinformatics (Oxford, England) Jul 1, 2017
MOTIVATION: Whole genome expression profiling of large cohorts of different types of cancer led to the identification of distinct molecular subcategories (subtypes) that may partially explain the observed inter-tumoral heterogeneity. This is also the...
Biomarkers, Tumor Image Processing, Computer-Assisted Gene Expression Regulation, Neoplastic Support Vector Machine Humans Neural Networks, Computer Prognosis Colorectal Neoplasms
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Machine Learning and Prediction in Medicine - Beyond the Peak of Inflated Expectations.

The New England journal of medicine Jun 29, 2017
Prognosis Machine Learning Risk Assessment Algorithms Probability
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Predictive Analytics through Machine Learning in the clinical settings.

Computer methods and programs in biomedicine Jun 1, 2017
Computational Biology Image Interpretation, Computer-Assisted Electrophysiological Phenomena Labor Onset Machine Learning Decision Support Techniques Prognosis Pregnancy Female Diagnosis, Computer-Assisted Decision Support Systems, Clinical Humans Lung Neoplasms
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Prediction of 30-Day All-Cause Readmissions in Patients Hospitalized for Heart Failure: Comparison of Machine Learning and Other Statistical Approaches.

JAMA cardiology Feb 1, 2017
IMPORTANCE: Several attempts have been made at developing models to predict 30-day readmissions in patients with heart failure, but none have sufficient discriminatory capacity for clinical use. Machine-learning (ML) algorithms represent a novel appr...
Algorithms Prognosis Electronic Health Records United States Follow-Up Studies Models, Statistical Predictive Value of Tests Registries Humans Machine Learning Heart Failure Patient Readmission
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NT-proBNP Predicts All-Cause Mortality in a Population of Insurance Applicants, Follow-up Analysis and Further Observations.

Journal of insurance medicine (New York, N.Y.) Jan 1, 2017
OBJECTIVE: - Further refine the independent value of NT-proBNP, accounting for the impact of other test results, in predicting all-cause mortality for individual life insurance applicants with and without heart disease.
Risk Assessment Follow-Up Studies Predictive Value of Tests Peptide Fragments Aged Humans Heart Diseases Aged, 80 and over Biomarkers Natriuretic Peptide, Brain Male Prognosis Middle Aged Insurance, Life Female Mortality
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Hematopoiesis is prognostic for toxicity and survival of Radium treatment in patients with metastatic castration-resistant prostate cancer.

Hellenic journal of nuclear medicine Jan 1, 2017
OBJECTIVE: We evaluated the impact of pre-therapeutic hematopoiesis on survival, hematotoxicity (HT) and number of Radium (Ra) treatments in patients with metastatic castration-resistant prostate cancer.
Male Middle Aged Neoplasm Grading Survival Analysis Neoplasm Metastasis Humans Prostatic Neoplasms, Castration-Resistant Prognosis Hematopoiesis Aged Radium Adult
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