AIMC Journal:
International journal of environmental research and public health
Showing 331 to 340 of 494 articles
The Role of Mobility Digital Ecosystems for Age-Friendly Urban Public Transport: A Narrative Literature Review.
International journal of environmental research and public health
Oct 14, 2020
Within the context of the intersection of the global megatrends of urbanisation, ageing societies and digitalisation, this paper explores older people's mobility, with a particular interest in public transport, and a strong consideration of digital/I...
Exploring the Injury Severity Risk Factors in Fatal Crashes with Neural Network.
International journal of environmental research and public health
Oct 14, 2020
A better understanding of circumstances contributing to the severity outcome of traffic crashes is an important goal of road safety studies. An in-depth crash injury severity analysis is vital for the proactive implementation of appropriate mitigatio...
Exploring the Intersection between Social Determinants of Health and Unmet Dental Care Needs Using Deep Learning.
International journal of environmental research and public health
Oct 6, 2020
The goals of this study were to develop a risk prediction model in unmet dental care needs and to explore the intersection between social determinants of health and unmet dental care needs in the United States. Data from the 2016 Medical Expenditure ...
Medical Fraud and Abuse Detection System Based on Machine Learning.
International journal of environmental research and public health
Oct 5, 2020
It is estimated that approximately 10% of healthcare system expenditures are wasted due to medical fraud and abuse. In the medical area, the combination of thousands of drugs and diseases make the supervision of health care more difficult. To quantif...
How to Improve Compliance with Protective Health Measures during the COVID-19 Outbreak: Testing a Moderated Mediation Model and Machine Learning Algorithms.
International journal of environmental research and public health
Oct 4, 2020
In the wake of the sudden spread of COVID-19, a large amount of the Italian population practiced incongruous behaviors with the protective health measures. The present study aimed at examining psychological and psychosocial variables that could predi...
Impacts of a Care Robotics Project on Finnish Home Care Workers' Attitudes towards Robots.
International journal of environmental research and public health
Sep 30, 2020
Technological advances in elderly care have been rapid, and the introduction of robots in care will be a topical issue in the near future. There has been little research into the possibility of influencing care workers' attitudes towards robots by pr...
Blockchain in Healthcare: Insights on COVID-19.
International journal of environmental research and public health
Sep 30, 2020
The SARS-CoV2 pandemic has impacted risk management globally. Blockchain has been increasingly applied to healthcare management, as a strategic tool to strengthen operative protocols and to create the proper basis for an efficient and effective evide...
Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets.
International journal of environmental research and public health
Sep 24, 2020
Recently, artificial intelligence (AI) technologies have been employed to predict construction and demolition (C&D) waste generation. However, most studies have used machine learning models with continuous data input variables, applying algorithms, s...
Kriging-Based Land-Use Regression Models That Use Machine Learning Algorithms to Estimate the Monthly BTEX Concentration.
International journal of environmental research and public health
Sep 23, 2020
This paper uses machine learning to refine a Land-use Regression (LUR) model and to estimate the spatial-temporal variation in BTEX concentrations in Kaohsiung, Taiwan. Using the Taiwanese Environmental Protection Agency (EPA) data of BTEX (benzene, ...
Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data.
International journal of environmental research and public health
Sep 22, 2020
The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community. In this study we provide insights and also raise warnings on what...
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