AIMC Topic: Predictive Value of Tests

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A comparative study of machine learning classifiers for risk prediction of asthma disease.

Photodiagnosis and photodynamic therapy Oct 12, 2019
Asthma is a chronic disease characterized by wheezing, chest tightening and difficulty in breathing due to inflammation of lung airways. Early risk prediction of asthma is crucial for proper and effective management. This study presents the use of ma...
Middle Aged Case-Control Studies Spectrum Analysis, Raman Support Vector Machine Predictive Value of Tests Female Aged Adult Asthma Male Humans Neural Networks, Computer Machine Learning
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Identification and Quantification of Cardiovascular Structures From CCTA: An End-to-End, Rapid, Pixel-Wise, Deep-Learning Method.

JACC. Cardiovascular imaging Oct 11, 2019
OBJECTIVES: This study designed and evaluated an end-to-end deep learning solution for cardiac segmentation and quantification.
Humans Prospective Studies Female Reproducibility of Results Multidetector Computed Tomography Computed Tomography Angiography Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Registries Heart Diseases Aged Male Middle Aged Deep Learning
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Deep Learning in Quantitative PET Myocardial Perfusion Imaging: A Study on Cardiovascular Event Prediction.

JACC. Cardiovascular imaging Oct 11, 2019
Image Interpretation, Computer-Assisted Myocardial Perfusion Imaging Models, Cardiovascular Deep Learning Time Factors Predictive Value of Tests Positron Emission Tomography Computed Tomography Coronary Artery Disease Middle Aged Risk Assessment Disease Progression Diagnosis, Computer-Assisted Humans Prognosis Female Reproducibility of Results Risk Factors Aged Male
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The use of a machine-learning algorithm that predicts hypotension during surgery in combination with personalized treatment guidance: study protocol for a randomized clinical trial.

Trials Oct 11, 2019
BACKGROUND: Intraoperative hypotension is associated with increased morbidity and mortality. Current treatment is mostly reactive. The Hypotension Prediction Index (HPI) algorithm is able to predict hypotension minutes before the blood pressure actua...
Humans Machine Learning Decision Support Techniques Monitoring, Intraoperative Blood Pressure Determination Treatment Outcome Intraoperative Period Randomized Controlled Trials as Topic Prospective Studies Risk Factors Risk Assessment Time Factors Arterial Pressure Predictive Value of Tests Hypotension Netherlands Surgical Procedures, Operative
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Identification of postoperative complications using electronic health record data and machine learning.

American journal of surgery Oct 9, 2019
BACKGROUND: Using the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) complication status of patients who underwent an operation at the University of Colorado Hospital, we developed a machine learning algorithm for ...
Quality Improvement Machine Learning Algorithms Databases, Factual Electronic Health Records Female Humans Postoperative Complications ROC Curve United States Models, Statistical Predictive Value of Tests Aged Adult Male Middle Aged
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Identification of a blood-based 12-gene signature that predicts the severity of coronary artery stenosis: An integrative approach based on gene network construction, Support Vector Machine algorithm, and multi-cohort validation.

Atherosclerosis Oct 9, 2019
BACKGROUND AND AIMS: We aimed to identify a blood-based gene expression score (GES) to predict the severity of coronary artery stenosis in patients with known or suspected coronary artery disease (CAD) by integrative use of gene network construction,...
Support Vector Machine Predictive Value of Tests Coronary Stenosis Male Middle Aged Severity of Illness Index Gene Expression Profiling Transcriptome China Gene Regulatory Networks Genetic Predisposition to Disease Nomograms Female Reproducibility of Results Risk Factors Aged Humans Decision Support Techniques Phenotype Retrospective Studies
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A trial on artificial neural networks in predicting sex through bone length measurements on the first and fifth phalanges and metatarsals.

Computers in biology and medicine Oct 8, 2019
BACKGROUND: Predicting sex is an important problem in forensic medicine. The femur, patella, mandible and calcaneus bones are frequently used in predicting sex. In our study, we aimed to use the artificial neural network (ANN) technique to predict se...
Metatarsal Bones Toe Phalanges Middle Aged Predictive Value of Tests Radiography Sex Determination by Skeleton Humans Neural Networks, Computer Databases, Factual Female Adult Male
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Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment.

Radiology Oct 8, 2019
Background Men suspected of having clinically significant prostate cancer (sPC) increasingly undergo prostate MRI. The potential of deep learning to provide diagnostic support for human interpretation requires further evaluation. Purpose To compare t...
Male Middle Aged Deep Learning Magnetic Resonance Imaging Predictive Value of Tests Prostatic Neoplasms Biopsy Humans Retrospective Studies Aged Sensitivity and Specificity
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Machine learning in cardiovascular magnetic resonance: basic concepts and applications.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Oct 7, 2019
Machine learning (ML) is making a dramatic impact on cardiovascular magnetic resonance (CMR) in many ways. This review seeks to highlight the major areas in CMR where ML, and deep learning in particular, can assist clinicians and engineers in improvi...
Unsupervised Machine Learning Predictive Value of Tests Myocardium Supervised Machine Learning Image Interpretation, Computer-Assisted Reproducibility of Results Cardiovascular Diseases Diagnosis, Computer-Assisted Deep Learning Coronary Circulation Myocardial Perfusion Imaging Magnetic Resonance Imaging, Cine Humans Machine Learning
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Risk prediction of new AF: is there a role for artificial intelligence?

European journal of preventive cardiology Oct 4, 2019
Artificial Intelligence Risk Factors Predictive Value of Tests Atrial Fibrillation Heart Rate Humans
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