AIMC Journal:
International journal of environmental research and public health

Showing 241 to 250 of 494 articles

Predicting Physical Exercise Adherence in Fitness Apps Using a Deep Learning Approach.

International journal of environmental research and public health Oct 14, 2021
The use of mobile fitness apps has been on the rise for the last decade and especially during the worldwide SARS-CoV-2 pandemic, which led to the closure of gyms and to reduced outdoor mobility. Fitness apps constitute a promising means for promoting...
Humans COVID-19 Deep Learning Mobile Applications SARS-CoV-2 Exercise
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Designing Acceptable Robots for Assisting Older Adults: A Pilot Study on the Willingness to Interact.

International journal of environmental research and public health Oct 12, 2021
The aim of this paper was to explore the psychosocial determinants that lead to acceptability and willingness to interact with a service robot, starting with an analysis of older users' behaviors toward the Robot-Era platform, in order to provide str...
Robotics Self-Help Devices Aged Communication Male Pilot Projects Technology Female Humans
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Mortality-Risk Prediction Model from Road-Traffic Injury in Drunk Drivers: Machine Learning Approach.

International journal of environmental research and public health Oct 8, 2021
BACKGROUND: Alcohol-related road-traffic injury is the leading cause of premature death in middle- and lower-income countries, including Thailand. Applying machine-learning algorithms can improve the effectiveness of driver-impairment screening strat...
Neural Networks, Computer Machine Learning Algorithms Logistic Models Cross-Sectional Studies Accidents, Traffic
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BiLSTM-I: A Deep Learning-Based Long Interval Gap-Filling Method for Meteorological Observation Data.

International journal of environmental research and public health Sep 30, 2021
Complete and high-resolution temperature observation data are important input parameters for agrometeorological disaster monitoring and ecosystem modelling. Due to the limitation of field meteorological observation conditions, observation data are co...
Deep Learning Ecosystem Meteorology
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Detection of COVID-19 in Chest X-ray Images: A Big Data Enabled Deep Learning Approach.

International journal of environmental research and public health Sep 27, 2021
Coronavirus disease (COVID-19) spreads from one person to another rapidly. A recently discovered coronavirus causes it. COVID-19 has proven to be challenging to detect and cure at an early stage all over the world. Patients showing symptoms of COVID-...
Big Data X-Rays Humans SARS-CoV-2 COVID-19 Deep Learning
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Robots in Healthcare? What Patients Say.

International journal of environmental research and public health Sep 21, 2021
In this paper, we analyse patients' perspectives on the introduction of artificial intelligence (AI) and robotic systems in healthcare. Based on citizens' experiences when hospitalised for COVID-19, we explore how the opinions and concerns regarding ...
Humans Artificial Intelligence SARS-CoV-2 Robotics COVID-19 Delivery of Health Care
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A Vision of Future Healthcare: Potential Opportunities and Risks of Systems Medicine from a Citizen and Patient Perspective-Results of a Qualitative Study.

International journal of environmental research and public health Sep 19, 2021
Advances in (bio)medicine and technological innovations make it possible to combine high-dimensional, heterogeneous health data to better understand causes of diseases and make them usable for predictive, preventive, and precision medicine. This stud...
Precision Medicine Health Facilities Systems Analysis Artificial Intelligence Delivery of Health Care Humans
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Forecasting Erroneous Neural Machine Translation of Disease Symptoms: Development of Bayesian Probabilistic Classifiers for Cross-Lingual Health Translation.

International journal of environmental research and public health Sep 19, 2021
BACKGROUND: Machine translation (MT) technologies have increasing applications in healthcare. Despite their convenience, cost-effectiveness, and constantly improved accuracy, research shows that the use of MT tools in medical or healthcare settings p...
Humans Bayes Theorem Translations Machine Learning Reproducibility of Results
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The Importance of Close Follow-Up in Patients with Early-Grade Diabetic Retinopathy: A Taiwan Population-Based Study Grading via Deep Learning Model.

International journal of environmental research and public health Sep 16, 2021
(1) Background: Diabetic retinopathy (DR) can cause blindness. Current guidelines on diabetic eye care recommend more frequent eye examinations for more severe DR to prevent deterioration. However, close follow-up and early intervention at earlier st...
Follow-Up Studies Taiwan Diabetes Mellitus, Type 2 Humans Diabetic Retinopathy Risk Factors Deep Learning
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Preventing and Monitoring Work-Related Diseases in Firefighters: A Literature Review on Sensor-Based Systems and Future Perspectives in Robotic Devices.

International journal of environmental research and public health Sep 15, 2021
In recent years, the necessity to prevent work-related diseases has led to the use of sensor-based systems to measure important features during working activities. This topic achieved great popularity especially in hazardous and demanding activities ...
Exoskeleton Device Firefighters Humans Monitoring, Physiologic Robotics Movement
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