Titlebook: Research and Innovation Forum 2021; Managing Continuity, Anna Visvizi,Orlando Troisi,Kawther Saeedi Conference proceedings 2021 The Editor(

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2213-8684 nology, the evolution of the healthcare systems, business model innovation, the prospects of growth, the stability of political systems, and the future of education. .978-3-030-84313-7978-3-030-84311-3Series ISSN 2213-8684 Series E-ISSN 2213-8692

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Application of Machine Learning to Infer Symptoms and Risk Factors of Covid-19uctured in the composition of Machine Learning algorithms, aiming to discover knowledge and concepts followed by the refinement of the results. In this article, the proposed model is presented, and a shorter trail of symptomatic observations from Covid-19 are provided.

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How Does the Citizens’ Behavioral Intention to Use Digital Technology in Smart Cities Affect Their Mal intention to use digital technology on the anxiety level of citizens decreases as the increase of the Covid-19 severity. Finally, the theoretical implications, practical implications, research limitations and future prospects of this study are discussed.

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Architecture Based on Machine Learning Techniques and Data Mining for Prediction of Indicators in th undertaken with the lack of quantitative and qualitative analysis that could be generated. Finally, the presented architecture is oriented to data collection with the objective of the creation of large specialized datasets.

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ICT and Social Value Co-Creation During the Covid-19 Emergency: The Case of MascherinAmica the Service-dominant logic principles and view, the role of ICT in “MascherinAmica”—a social nonprofit enterprise—will be described. The empirical research adopts a case study methodology. The results identify ICT levers to encourage value co-creation during the lockdown and the different resources

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Application of Machine Learning to Infer Symptoms and Risk Factors of Covid-19oronavirus Covid-19, registered in the database of epidemiological surveillance of state and municipal information in Brazil. The concept behind ML is the ability to learn and reason. Its application can optimize and make the treatment and care process more accurate for the cases diagnosed with the

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