AIMC Topic: Risk Factors

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End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.

Nature medicine May 20, 2019
With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer death in the United States. Lung cancer screening using low-dose computed tomography has been shown to reduce mortality by 20-43% and is now included in US scree...
United States Mass Screening Diagnosis, Computer-Assisted Deep Learning Imaging, Three-Dimensional Lung Neoplasms Humans Neural Networks, Computer Algorithms Databases, Factual Retrospective Studies Tomography, X-Ray Computed Risk Factors
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Democratizing AI.

Journal of the American College of Radiology : JACR May 16, 2019
Radiologists Quality Control Radiation Exposure Risk Factors Male Magnetic Resonance Imaging Radiology Artificial Intelligence Forecasting Tomography, X-Ray Computed Female Humans
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A machine-learning-based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies.

Brachytherapy May 15, 2019
PURPOSE: External beam radiotherapy combined with interstitial brachytherapy is commonly used to treat patients with bulky, advanced gynecologic cancer. However, the high radiation dose needed to control the tumor may result in fistula development. T...
Humans Retrospective Studies Female Middle Aged Models, Theoretical Support Vector Machine Predictive Value of Tests Area Under Curve Risk Factors Aged Aged, 80 and over Adult Genital Neoplasms, Female Brachytherapy Vesicovaginal Fistula Rectovaginal Fistula
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Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants.

PloS one May 15, 2019
BACKGROUND: Identifying people at risk of cardiovascular diseases (CVD) is a cornerstone of preventative cardiology. Risk prediction models currently recommended by clinical guidelines are typically based on a limited number of predictors with sub-op...
Male Prognosis Biological Specimen Banks Cardiovascular Diseases Female Humans Risk Assessment Reproducibility of Results United Kingdom Risk Factors Population Surveillance Proportional Hazards Models Machine Learning Algorithms Prospective Studies
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Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network.

Geospatial health May 14, 2019
Leptospirosis is a zoonotic disease found wherever human is in direct or indirect contact with contaminated water and environment. Considering the increasing number of cases of this disease in the northern part of Iran, identifying areas characterize...
Support Vector Machine Humans Models, Statistical Machine Learning Iran Spatial Analysis Risk Factors Leptospirosis Environment Incidence
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A machine learning approach for predicting urine output after fluid administration.

Computer methods and programs in biomedicine May 13, 2019
BACKGROUND AND OBJECTIVE: To develop a machine learning model to predict urine output (UO) in sepsis patients after fluid resuscitation.
Risk Factors Aged Sensitivity and Specificity Male Humans Fluid Therapy Middle Aged Algorithms Critical Care Machine Learning Sepsis Intensive Care Units Urination Decision Support Systems, Clinical Electronic Health Records Resuscitation Kidney Function Tests Female Area Under Curve
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Automated extraction of sudden cardiac death risk factors in hypertrophic cardiomyopathy patients by natural language processing.

International journal of medical informatics May 13, 2019
BACKGROUND: The management of hypertrophic cardiomyopathy (HCM) patients requires the knowledge of risk factors associated with sudden cardiac death (SCD). SCD risk factors such as syncope and family history of SCD (FH-SCD) as well as family history ...
Humans Algorithms Prognosis Electronic Health Records Female Risk Factors Death, Sudden, Cardiac Male Middle Aged Natural Language Processing Cardiomyopathy, Hypertrophic
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Physician Review of a Celiac Disease Risk Estimation and Decision-Making Expert System.

Journal of the American College of Nutrition May 7, 2019
Celiac disease is a genetic disease affecting people of all ages, resulting in small intestine enteropathy. It is considered to be a clinical chameleon. Average prevalence of celiac disease is 1 out of 100 people with data indicating the risk may be...
Expert Systems Celiac Disease Risk Factors Humans Decision Making Physicians Autoantibodies Reproducibility of Results Biopsy
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Development of a machine learning algorithm for prediction of failure of nonoperative management in spinal epidural abscess.

The spine journal : official journal of the North American Spine Society May 4, 2019
BACKGROUND CONTEXT: Data regarding risk of failure of nonoperative management in spinal epidural abscess (SEA) are limited. Given the potential for deterioration with treatment failure, a tool that predicts the probability of failure would be of grea...
Humans Machine Learning Anti-Bacterial Agents Middle Aged Logistic Models Female Treatment Failure Risk Factors Spinal Diseases Adult Epidural Abscess Male
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Prediction of coronary thin-cap fibroatheroma by intravascular ultrasound-based machine learning.

Atherosclerosis May 4, 2019
BACKGROUND AND AIMS: Although grayscale intravascular ultrasound (IVUS) is commonly used for assessing coronary lesion morphology and optimizing stent implantation, detection of vulnerable plaques by IVUS remains challenging. We aimed to develop mach...
Plaque, Atherosclerotic Coronary Stenosis Fibrosis Image Interpretation, Computer-Assisted Coronary Vessels Rupture, Spontaneous Reproducibility of Results Tomography, Optical Coherence Risk Factors Bayes Theorem Humans Aged Ultrasonography, Interventional Male Neural Networks, Computer Middle Aged Coronary Artery Disease Machine Learning Risk Assessment Female Disease Progression Diagnosis, Computer-Assisted Predictive Value of Tests
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