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Application of Machine Learning Techniques for Clinical Predictive Modeling: A Cross-Sectional Study on Nonalcoholic Fatty Liver Disease in China.

BioMed research international Oct 3, 2018
BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases. Machine learning techniques were introduced to evaluate the optimal predictive clinical model of NAFLD.
China Non-alcoholic Fatty Liver Disease Body Mass Index gamma-Glutamyltransferase Models, Biological Humans Adult Alanine Transaminase Machine Learning Cross-Sectional Studies Triglycerides Female Male Middle Aged
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Novel knowledge-based system with relation detection and textual evidence for question answering research.

PloS one Oct 3, 2018
With the development of large-scale knowledge bases (KBs), knowledge-based question answering (KBQA) has become an important research topic in recent years. The key task in KBQA is relation detection, which is the process of finding a compatible answ...
Quality Improvement Semantics Humans Natural Language Processing Knowledge Bases
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Predictive models for charitable giving using machine learning techniques.

PloS one Oct 3, 2018
Private giving represents more than three fourths of all U.S. charitable donations, about 2% of total Gross Domestic Product (GDP). Private giving is a significant factor in funding the nonprofit sector of the U.S. economy, which accounts for more th...
Charities Humans Neural Networks, Computer Machine Learning Models, Economic United States Data Accuracy Socioeconomic Factors Linear Models Demography
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Hypergraph-Induced Convolutional Networks for Visual Classification.

IEEE transactions on neural networks and learning systems Oct 2, 2018
At present, convolutional neural networks (CNNs) have become popular in visual classification tasks because of their superior performance. However, CNN-based methods do not consider the correlation of visual data to be classified. Recently, graph con...
Humans Neural Networks, Computer Algorithms Photic Stimulation Pattern Recognition, Automated
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Skin surface lipid differences in sensitive skin caused by psychological stress and distinguished by support vector machine.

Journal of cosmetic dermatology Oct 2, 2018
BACKGROUND: Sensitive skin refers to skin that tends to be highly responsive to stimuli such as physical, chemical, and psychological. Psychological factors play an important role in the pathology of sensitive skin.
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Tandem Mass Spectrometry Permeability Hyperesthesia Discriminant Analysis Skin Chromatography, High Pressure Liquid Humans Female Adult Young Adult Stress, Psychological Support Vector Machine Lipids
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Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here.

Population health management Oct 2, 2018
An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and yet 1 in 2 persons remain undiagnosed and untreated. Applications of artificial intelligence (AI) and cognitive computing offer promise...
Humans Self-Management Risk Assessment Diabetes Mellitus Retina Artificial Intelligence Forecasting Decision Support Techniques
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Translational machine learning for psychiatric neuroimaging.

Progress in neuro-psychopharmacology & biological psychiatry Oct 2, 2018
Despite its initial promise, neuroimaging has not been widely translated into clinical psychiatry to assist in the prediction of diagnoses, prognoses, and optimal therapeutic strategies. Machine learning approaches may enhance the translational poten...
Mental Disorders Psychiatry Humans Translational Research, Biomedical Machine Learning Neuroimaging
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Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.

European radiology Oct 2, 2018
OBJECTIVE: We aimed to identify optimal machine-learning methods for preoperative differentiation of sacral chordoma (SC) and sacral giant cell tumour (SGCT) based on 3D non-enhanced computed tomography (CT) and CT-enhanced (CTE) features.
Diagnosis, Differential Image Interpretation, Computer-Assisted Linear Models Spinal Neoplasms ROC Curve Imaging, Three-Dimensional Support Vector Machine Giant Cell Tumors Sacrum Chordoma Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Adult Male Middle Aged Humans
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A random forest model to predict heatstroke occurrence for heatwave in China.

The Science of the total environment Oct 2, 2018
Extreme heat events have recently become more frequent and represent an increasing risk of damage to public health. However, the existing prediction of heatwave related health effects has limited representativeness and verification. Our study address...
Extreme Heat Heat Stroke Meteorological Concepts Forecasting China Models, Theoretical Humans Socioeconomic Factors Machine Learning
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3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas.

Cancer research Oct 2, 2018
: Identification of early-stage pulmonary adenocarcinomas before surgery, especially in cases of subcentimeter cancers, would be clinically important and could provide guidance to clinical decision making. In this study, we developed a deep learning ...
Humans Neural Networks, Computer Precision Medicine Prognosis Decision Making Area Under Curve Mutation Lung Neoplasms Adenocarcinoma Neoplasm Invasiveness Male Middle Aged Diagnosis, Computer-Assisted Retrospective Studies Deep Learning Tomography, X-Ray Computed Aged Adolescent Female Aged, 80 and over Imaging, Three-Dimensional Young Adult Image Processing, Computer-Assisted Adult
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