Published in Food science and biotechnology
The fourth industrial revolution represented by big data and artificial intelligence (AI), already had a significant impact on the food industry. In this review, the impacts and prospects of the 4th industrial revolution in food safety were discussed. First, the general process and characteristics of AI application from data collection to visualiza...
Published in Epidemiology and Infection
Big data has been reported widely to facilitate epidemic prevention and control in health care during the coronavirus disease 2019 (COVID-19) pandemic. However, there is still a lack of practical experience in applying it to hospital prevention and control. This study is devoted to the practical experience of design and implementation as well as th...
Published in Computing
Internet of Things (IoT) is a technology that connects devices of different types and characteristics through a network. The massive quantity of the heterogeneous generated data by the sensors imposes many challenges in making these data available to IoT applications. Data reduction and preprocessing are promising concepts that help to handle these...
Dissertação (Mestrado Profissional em Computação Aplicada) — Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, Brasília, 2022. / O Lean HealthCare tornou-se uma das abordagens de gestão enxuta mais adotadas no setor de saúde. Sua aplicação tem como foco principal a eliminação de desperdícios e melhoria d...
Published in Medicine, Health Care, and Philosophy
While Specific Informed Consent has been the established standard for obtaining consent for medical research for many years, it does not appear suitable for large-scale biobank and health data research. Thus, alternative forms of consent have been suggested, based on a variety of ethical background assumptions. This article identifies five main eth...
Published in Current Neurology and Neuroscience Reports
Purpose of Review To critically appraise literature on recent advances and methods using “big data” to evaluate stroke outcomes and associated factors. Recent Findings Recent big data studies provided new evidence on the incidence of stroke outcomes, and important emerging predictors of these outcomes. Main highlights included the identification of...
Published in BMC Microbiology
Background Unsupervised AI (artificial intelligence) can obtain novel knowledge from big data without particular models or prior knowledge and is highly desirable for unveiling hidden features in big data. SARS-CoV-2 poses a serious threat to public health and one important issue in characterizing this fast-evolving virus is to elucidate various as...
Published in Data in Brief
The Industry 4.0 revolution is aimed to optimize the product design according to the customers' demand, quality requirements and economic feasibility. Industry 4.0 employs advanced two-way communication technologies for optimizing the manufacturing process to increase the sales of the products and revenues to cope the existing global economy issues...
Published in MAPAN
In the present area, the outbreak of COVID-19, customer behavior have been seen toward their individual specific need, which encourages advanced-manufacturing industries to provide mass personalization of goods and services. The Covid-19 crises bring opportunities for industries and service providers to enhance their capability for a fault-free env...
Published in Journal of Cheminformatics
Deep learning’s automatic feature extraction has been a revolutionary addition to computational drug discovery, infusing both the capabilities of learning abstract features and discovering complex molecular patterns via learning from molecular data. Since biological and chemical knowledge are necessary for overcoming the challenges of data curation...
