AIMC Journal:
International journal of environmental research and public health

Showing 251 to 260 of 494 articles

Artificial Intelligence for Identifying the Prevention of Medication Incidents Causing Serious or Moderate Harm: An Analysis Using Incident Reporters' Views.

International journal of environmental research and public health Aug 31, 2021
The purpose of this study was to describe incident reporters' views identified by artificial intelligence concerning the prevention of medication incidents that were assessed, causing serious or moderate harm to patients. The information identified t...
Risk Management Artificial Intelligence Humans Retrospective Studies Workload Medication Errors
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Balanced Convolutional Neural Networks for Pneumoconiosis Detection.

International journal of environmental research and public health Aug 28, 2021
Pneumoconiosis remains one of the most common and harmful occupational diseases in China, leading to huge economic losses to society with its high prevalence and costly treatment. Diagnosis of pneumoconiosis still strongly depends on the experience o...
Humans China Radiography Pneumoconiosis Neural Networks, Computer Machine Learning
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Optimization of a Sports Activity Development Model Using Artificial Intelligence under New Curriculum Reform.

International journal of environmental research and public health Aug 27, 2021
The recent curriculum reform in China puts forward higher requirements for the development of physical education. In order to further improve students' physical quality and motor skills, the traditional model was improved to address the lack of accur...
Curriculum Algorithms China Neural Networks, Computer Artificial Intelligence Humans
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Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Community-Driven Harmonized Language.

International journal of environmental research and public health Aug 26, 2021
Harmonized language is critical for helping researchers to find data, collecting scientific data to facilitate comparison, and performing pooled and meta-analyses. Using standard terms to link data to knowledge systems facilitates knowledge-driven an...
Language United States Knowledge Bases Environmental Health Artificial Intelligence National Institute of Environmental Health Sciences (U.S.)
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The Impact of the Integrated Development of AI and Energy Industry on Regional Energy Industry: A Case of China.

International journal of environmental research and public health Aug 25, 2021
With the advent of the Energy 4.0 era, the adoption of "Internet + artificial intelligence" systems will enable the transformation and upgrading of the traditional energy industry. This will alleviate the energy and environmental problems that China ...
Industry Technology Physical Phenomena Artificial Intelligence China
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Predicting Risks of Machine Translations of Public Health Resources by Developing Interpretable Machine Learning Classifiers.

International journal of environmental research and public health Aug 20, 2021
We aimed to develop machine learning classifiers as a risk-prevention mechanism to help medical professionals with little or no knowledge of the patient's languages in order to predict the likelihood of clinically significant mistakes or incomprehens...
Bayes Theorem Health Resources Humans Machine Learning
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Implementing an Individual-Centric Discharge Process across Singapore Public Hospitals.

International journal of environmental research and public health Aug 17, 2021
Singapore is one of the first known countries to implement an individual-centric discharge process across all public hospitals to manage frequent admissions-a perennial challenge for public healthcare, especially in an aging population. Specifically,...
Hospitals, Public Singapore Patient Discharge Artificial Intelligence Hospitalization Aged Length of Stay Humans
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Prediction Models of Early Childhood Caries Based on Machine Learning Algorithms.

International journal of environmental research and public health Aug 15, 2021
In this study, we developed machine learning-based prediction models for early childhood caries and compared their performances with the traditional regression model. We analyzed the data of 4195 children aged 1-5 years from the Korea National Health...
Humans Child, Preschool Child Machine Learning Algorithms Dental Caries Susceptibility Logistic Models Nutrition Surveys
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Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables.

International journal of environmental research and public health Aug 12, 2021
Construction and demolition waste (DW) generation information has been recognized as a tool for providing useful information for waste management. Recently, numerous researchers have actively utilized artificial intelligence technology to establish a...
Machine Learning Artificial Intelligence Algorithms Waste Management
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Estimated Artificial Neural Network Modeling of Maximal Oxygen Uptake Based on Multistage 10-m Shuttle Run Test in Healthy Adults.

International journal of environmental research and public health Aug 12, 2021
We aimed to develop an artificial neural network (ANN) model to estimate the maximal oxygen uptake (VOmax) based on a multistage 10 m shuttle run test (SRT) in healthy adults. For ANN-based VOmax estimation, 118 healthy Korean adults (59 men and 59 w...
Adult Male Neural Networks, Computer Female Humans Waist Circumference Body Mass Index Waist-Hip Ratio Oxygen
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