AIMC Topic:
Predictive Value of Tests

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Neural-network classification of cardiac disease from P cardiovascular magnetic resonance spectroscopy measures of creatine kinase energy metabolism.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 12, 2019
BACKGROUND: The heart's energy demand per gram of tissue is the body's highest and creatine kinase (CK) metabolism, its primary energy reserve, is compromised in common heart diseases. Here, neural-network analysis is used to test whether noninvasive...
Energy Metabolism Magnetic Resonance Spectroscopy Phosphocreatine Phosphorus Isotopes Myocardium Creatine Kinase Kinetics Adenosine Triphosphate Heart Diseases Humans Adult Neural Networks, Computer Male Machine Learning Middle Aged Biomarkers Severity of Illness Index Female Predictive Value of Tests Reproducibility of Results Aged Aged, 80 and over Young Adult
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Machine learning to predict cardiovascular risk.

International journal of clinical practice Aug 4, 2019
AIMS: To analyse the predictive capacity of 15 machine learning methods for estimating cardiovascular risk in a cohort and to compare them with other risk scales.
Humans Cohort Studies Machine Learning Algorithms Follow-Up Studies Predictive Value of Tests Area Under Curve Bayes Theorem Spain Female Risk Factors Male Cardiovascular Diseases Middle Aged
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Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty.

Journal of shoulder and elbow surgery Aug 3, 2019
BACKGROUND: We aimed to demonstrate that supervised machine learning (ML) models can better predict postoperative complications after total shoulder arthroplasty (TSA) than comorbidity indices.
Age Factors Blood Transfusion Operative Time Predictive Value of Tests Supervised Machine Learning Postoperative Complications Comorbidity Length of Stay ROC Curve Body Mass Index Arthroplasty, Replacement, Shoulder Hematocrit Patient Readmission Smoking Reoperation Serum Albumin Humans Forecasting Databases, Factual Female Aged Male Middle Aged
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Prediction of high proliferative index in pituitary macroadenomas using MRI-based radiomics and machine learning.

Neuroradiology Aug 2, 2019
PURPOSE: Pituitary adenomas are among the most frequent intracranial tumors. They may exhibit clinically aggressive behavior, with recurrent disease and resistance to multimodal therapy. The ki-67 labeling index represents a proliferative marker whic...
Predictive Value of Tests Humans Ki-67 Antigen Machine Learning Adolescent Algorithms Aged Image Processing, Computer-Assisted Female Aged, 80 and over Magnetic Resonance Imaging Reproducibility of Results Adult Pituitary Neoplasms Biomarkers, Tumor Adenoma Male Middle Aged
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An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.

Lancet (London, England) Aug 1, 2019
BACKGROUND: Atrial fibrillation is frequently asymptomatic and thus underdetected but is associated with stroke, heart failure, and death. Existing screening methods require prolonged monitoring and are limited by cost and low yield. We aimed to deve...
Humans Neural Networks, Computer Algorithms Retrospective Studies Female ROC Curve Electrocardiography Aged Predictive Value of Tests Adult Atrial Fibrillation Male Atrial Flutter Middle Aged Case-Control Studies
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Predicting death by suicide using administrative health care system data: Can feedforward neural network models improve upon logistic regression models?

Journal of affective disorders Jul 30, 2019
BACKGROUND: Suicide is a leading cause of death worldwide. With the increasing volume of administrative health care data, there is an opportunity to evaluate whether machine learning models can improve upon statistical models for quantifying suicide ...
Risk Assessment Humans Neural Networks, Computer Suicide Machine Learning Logistic Models Female Predictive Value of Tests Male
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A Diagnostic Prediction Model of Acute Symptomatic Portal Vein Thrombosis.

Annals of vascular surgery Jul 25, 2019
BACKGROUND: The aim of this study was to develop a diagnostic prediction model to improve identification of acute symptomatic portal vein thrombosis (PVT).
Acute Disease Portal Vein Diagnosis, Computer-Assisted China Support Vector Machine Venous Thrombosis Predictive Value of Tests Reproducibility of Results Risk Factors Humans Adult Decision Support Techniques Male Retrospective Studies Middle Aged Female
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Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.

Clinical & experimental ophthalmology Jul 25, 2019
IMPORTANCE: Detection of early onset neovascular age-related macular degeneration (AMD) is critical to protecting vision.
Humans Algorithms Retrospective Studies Female Reproducibility of Results Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Ophthalmologists Choroidal Neovascularization Fundus Oculi Deep Learning False Positive Reactions ROC Curve Fluorescein Angiography Visual Acuity Wet Macular Degeneration Predictive Value of Tests Photography Area Under Curve
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Response to repeat echoendoscopic celiac plexus neurolysis in pancreatic cancer patients: A machine learning approach.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Jul 24, 2019
BACKGROUND: /Objectives: Efficacy of repeat echoendoscopic celiac plexus neurolysis is still unclear. Aim of the study was to assess the efficacy of repeat celiac plexus neurolysis and to build an artificial neural network model able to predict pain ...
Middle Aged Likelihood Functions Predictive Value of Tests Female Disease Progression Pain Measurement Humans Celiac Plexus Aged Pain Nerve Block Machine Learning Aged, 80 and over Pain Management Treatment Outcome Endosonography Adult Pancreatic Neoplasms Male
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Prediction of Chemotherapy Response of Osteosarcoma Using Baseline F-FDG Textural Features Machine Learning Approaches with PCA.

Contrast media & molecular imaging Jul 24, 2019
PURPOSE: Patients with high-grade osteosarcoma undergo several chemotherapy cycles before surgical intervention. Response to chemotherapy, however, is affected by intratumor heterogeneity. In this study, we assessed the ability of a machine learning ...
Principal Component Analysis Humans Machine Learning Area Under Curve Support Vector Machine Drug Monitoring Osteosarcoma Positron-Emission Tomography Predictive Value of Tests Fluorodeoxyglucose F18
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