AIMC Journal:
International journal of environmental research and public health

Showing 311 to 320 of 494 articles

The Prediction of Hepatitis E through Ensemble Learning.

International journal of environmental research and public health Dec 28, 2020
According to the World Health Organization, about 20 million people are infected with Hepatitis E every year. In 2015, there were 44,000 deaths due to HEV infection worldwide. Food, water and climate are key factors that affect the outbreak of Hepati...
Disease Outbreaks Climate Hepatitis E Humans Machine Learning Models, Theoretical Water Quality
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A Machine Learning Approach to Identify Predictors of Potentially Inappropriate Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) Use in Older Adults with Osteoarthritis.

International journal of environmental research and public health Dec 28, 2020
Evidence from some studies suggest that osteoarthritis (OA) patients are often prescribed non-steroidal anti-inflammatory drugs (NSAIDs) that are not in accordance with their cardiovascular (CV) or gastrointestinal (GI) risk profiles. However, no suc...
Inappropriate Prescribing Aged, 80 and over Male Female Cardiovascular Diseases Machine Learning Aged Humans United States Retrospective Studies Osteoarthritis Anti-Inflammatory Agents, Non-Steroidal Gastrointestinal Diseases Medicare
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Deep Learning-Based Object Detection, Localisation and Tracking for Smart Wheelchair Healthcare Mobility.

International journal of environmental research and public health Dec 24, 2020
This paper deals with the development of an Advanced Driver Assistance System (ADAS) for a smart electric wheelchair in order to improve the autonomy of disabled people. Our use case, built from a formal clinical study, is based on the detection, dep...
Environment Design Wheelchairs Algorithms Deep Learning Persons with Disabilities Humans
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Deep-Learning-Based Prediction of High-Risk Taxi Drivers Using Wellness Data.

International journal of environmental research and public health Dec 18, 2020
BACKGROUND: Factors related to the wellness of taxi drivers are important for identifying high-risk drivers based on human factors. The purpose of this study is to predict high-risk taxi drivers based on a deep learning method by identifying the well...
Deep Learning Accidents, Traffic Humans Automobile Driving Text Messaging
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Automated Classification of Online Sources for Infectious Disease Occurrences Using Machine-Learning-Based Natural Language Processing Approaches.

International journal of environmental research and public health Dec 17, 2020
Collecting valid information from electronic sources to detect the potential outbreak of infectious disease is time-consuming and labor-intensive. The automated identification of relevant information using machine learning is necessary to respond to ...
Disease Outbreaks Natural Language Processing Communicable Diseases Epidemiological Monitoring Humans Machine Learning Algorithms
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Development of a Self-Harm Monitoring System for Victoria.

International journal of environmental research and public health Dec 15, 2020
The prevention of suicide and suicide-related behaviour are key policy priorities in Australia and internationally. The World Health Organization has recommended that member states develop self-harm surveillance systems as part of their suicide preve...
Emergency Service, Hospital Humans Self-Injurious Behavior Artificial Intelligence Victoria Suicide, Attempted Adolescent
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Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques.

International journal of environmental research and public health Dec 14, 2020
In recent years, the widespread deployment of the Internet of Things (IoT) applications has contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies, communications and applications to maximize operational effici...
Computer Security Terrorism Humans Machine Learning Quality of Life Cities Algorithms
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Classification of Biodegradable Substances Using Balanced Random Trees and Boosted C5.0 Decision Trees.

International journal of environmental research and public health Dec 13, 2020
Substances that do not degrade over time have proven to be harmful to the environment and are dangerous to living organisms. Being able to predict the biodegradability of substances without costly experiments is useful. Recently, the quantitative str...
Discriminant Analysis Support Vector Machine Decision Trees Humans Algorithms Machine Learning ROC Curve
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The Utility of Artificial Neural Networks for the Non-Invasive Prediction of Metabolic Syndrome Based on Personal Characteristics.

International journal of environmental research and public health Dec 11, 2020
This study investigated the diagnostic accuracy of using an artificial neural network (ANN) for the prediction of metabolic syndrome (MetS) based on socioeconomic status and lifestyle factors. The data of 27,415 subjects who went through examinations...
Humans Neural Networks, Computer Female Male Middle Aged Mass Screening Aged Adult Life Style Area Under Curve Waist Circumference Social Class Metabolic Syndrome Taiwan
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A Process Evaluation Examining the Performance, Adherence, and Acceptability of a Physical Activity and Diet Artificial Intelligence Virtual Health Assistant.

International journal of environmental research and public health Dec 7, 2020
Artificial intelligence virtual health assistants are a promising emerging technology. This study is a process evaluation of a 12-week pilot physical activity and diet program delivered by virtual assistant "Paola". This single-arm repeated measures ...
Humans Artificial Intelligence Exercise Motivation Vegetables Middle Aged Diet Aged
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