AIMC Topic: Predictive Value of Tests
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Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.
Japanese journal of radiology
Nov 18, 2019
PURPOSE: To assess the performance of texture analysis of conventional magnetic resonance imaging (MRI) and apparent diffusion coefficient (ADC) maps in predicting IDH1 status in high-grade gliomas (HGG).
Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning.
Artificial intelligence in medicine
Nov 17, 2019
Obstetric ultrasound examination of physiological parameters has been mainly used to estimate the fetal weight during pregnancy and baby weight before labour to monitor fetal growth and reduce prenatal morbidity and mortality. However, the problem is...
Prediction of essential genes in prokaryote based on artificial neural network.
Genes & genomics
Nov 17, 2019
BACKGROUND: Rapid identification of new essential genes is necessary to understand biological mechanisms and identify potential targets for antimicrobial drugs. Many computational methods have been proposed.
Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.
JACC. Cardiovascular imaging
Nov 13, 2019
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Automation
Coronary Vessels
Vascular Calcification
Computed Tomography Angiography
Cardiac-Gated Imaging Techniques
Deep Learning
Male
Humans
Electrocardiography
Middle Aged
Predictive Value of Tests
Software
Severity of Illness Index
Retrospective Studies
Coronary Angiography
Diagnosis, Computer-Assisted
Female
Reproducibility of Results
Aged
CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms.
International journal of computer assisted radiology and surgery
Nov 13, 2019
PURPOSE: As some of the most important factors for treatment decision of lung cancer (which is the deadliest neoplasm) are staging and histology, this work aimed to associate quantitative contrast-enhanced computed tomography (CT) features from malig...
Machine Learning for Pretest Probability of Obstructive Coronary Stenosis in Symptomatic Patients.
JACC. Cardiovascular imaging
Nov 13, 2019
Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography.
IEEE transactions on medical imaging
Nov 12, 2019
In patients with obstructive coronary artery disease, the functional significance of a coronary artery stenosis needs to be determined to guide treatment. This is typically established through fractional flow reserve (FFR) measurement, performed duri...
Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach.
Translational psychiatry
Nov 11, 2019
Machine learning methods show promise to translate univariate biomarker findings into clinically useful multivariate decision support systems. At current, works in major depressive disorder have predominantly focused on neuroimaging and clinical pred...
Artificial plant optimization algorithm to detect heart rate & presence of heart disease using machine learning.
Artificial intelligence in medicine
Nov 8, 2019
In today's world, cardiovascular diseases are prevalent becoming the leading cause of death; more than half of the cardiovascular diseases are due to Coronary Heart Disease (CHD) which generates the demand of predicting them timely so that people can...
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma.
BMC medical informatics and decision making
Nov 8, 2019
BACKGROUND: Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. Recently, deep learning models have achieved state-of-the-a...
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