AIMC Journal:
International journal of environmental research and public health

Showing 441 to 450 of 494 articles

Screening and Diagnosis of Chronic Pharyngitis Based on Deep Learning.

International journal of environmental research and public health May 14, 2019
Chronic pharyngitis is a common disease, which has a long duration and a wide range of onset. It is easy to misdiagnose by mistaking it with other diseases, such as chronic tonsillitis, by using common diagnostic methods. In order to reduce costs and...
Neural Networks, Computer Chronic Disease Pharyngitis Humans
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Machine Learning Methods to Predict Social Media Disaster Rumor Refuters.

International journal of environmental research and public health Apr 24, 2019
This research provides a general methodology for distinguishing disaster-related anti-rumor spreaders from a non-ignorant population base, with strong connections in their social circle. Several important influencing factors are examined and illustra...
Social Media Disasters Machine Learning Logistic Models Support Vector Machine Humans
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Application of Artificial Neural Networks to Identify Alzheimer's Disease Using Cerebral Perfusion SPECT Data.

International journal of environmental research and public health Apr 11, 2019
The aim of this study was to demonstrate the usefulness of artificial neural networks in Alzheimer disease diagnosis (AD) using data of brain single photon emission computed tomography (SPECT). The results were compared with discriminant analysis. Th...
Male Middle Aged Case-Control Studies Aged, 80 and over Sensitivity and Specificity Tomography, Emission-Computed, Single-Photon ROC Curve Discriminant Analysis Alzheimer Disease Humans Neural Networks, Computer Female Aged
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A Deep Neural Network-Based Method for Early Detection of Osteoarthritis Using Statistical Data.

International journal of environmental research and public health Apr 10, 2019
A large number of people suffer from certain types of osteoarthritis, such as knee, hip, and spine osteoarthritis. A correct prediction of osteoarthritis is an essential step to effectively diagnose and prevent severe osteoarthritis. Osteoarthritis i...
Humans Algorithms Area Under Curve Middle Aged Osteoarthritis Deep Learning Early Diagnosis
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Use of Machine Learning in the Analysis of Indoor ELF MF Exposure in Children.

International journal of environmental research and public health Apr 6, 2019
Characterization of children exposure to extremely low frequency (ELF) magnetic fields is an important issue because of the possible correlation of leukemia onset with ELF exposure. Cluster analysis-a Machine Learning approach-was applied on personal...
Schools France Magnetic Fields Humans Child Cluster Analysis Electricity Machine Learning Environmental Exposure Housing Infant Infant, Newborn Adolescent Child, Preschool
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Knowledge Domain and Emerging Trends on Echinococcosis Research: A Scientometric Analysis.

International journal of environmental research and public health Mar 8, 2019
The echinococcosis of humans and animals is a chronic helminthic disease caused by the larva of genus tapeworms. It is a globally distributed disease which is an important socioeconomic and public health problem in many low and middle-income countri...
Echinococcosis Software Biomedical Research Animals Bibliometrics Humans Publications Knowledge Bases
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Effects of Food Contamination on Gastrointestinal Morbidity: Comparison of Different Machine-Learning Methods.

International journal of environmental research and public health Mar 7, 2019
Morbidity prediction can be useful in improving the effectiveness and efficiency of medical services, but accurate morbidity prediction is often difficult because of the complex relationships between diseases and their influencing factors. This study...
Humans Acute Disease Deep Learning Gastrointestinal Diseases China Neural Networks, Computer Food Contamination Machine Learning
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A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals.

International journal of environmental research and public health Feb 19, 2019
Sleep disorder is a symptom of many neurological diseases that may significantly affect the quality of daily life. Traditional methods are time-consuming and involve the manual scoring of polysomnogram (PSG) signals obtained in a laboratory environme...
Humans Sleep Wake Disorders Electroencephalography Neural Networks, Computer Automation Deep Learning Electrooculography Polysomnography Sleep Stages
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Exploring Spatial Influence of Remotely Sensed PM2.5 Concentration Using a Developed Deep Convolutional Neural Network Model.

International journal of environmental research and public health Feb 4, 2019
Currently, more and more remotely sensed data are being accumulated, and the spatial analysis methods for remotely sensed data, especially big data, are desiderating innovation. A deep convolutional network (CNN) model is proposed in this paper for e...
Water Pollutants Spatial Regression Models, Spatial Interaction Remote Sensing Technology Particulate Matter Neural Networks, Computer Water Pollution China
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Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks.

International journal of environmental research and public health Jan 29, 2019
Diabetes is a chronic and noncommunicable but preventable disease that is affecting the Mexican population at worrying levels, being the first place in prevalence worldwide. Early diabetes detection has become important to prevent other health condit...
Middle Aged Area Under Curve Female Diabetes Mellitus ROC Curve Humans Early Diagnosis Models, Theoretical Adult Mexico Neural Networks, Computer Health Status Male
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