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This book constitutes the refereed proceedings of the 22nd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2020, held in Bolzano, Italy, in September 2020. The 12 full papers presented together with 7 were carefully reviewed and selected from 104 submissions. The special theme of EKAW 2020 is „Ethical and Trustworthy Knowledge Engineering". The papers cover all aspects of eliciting, acquiring, discovering, modeling, and managing knowledge and construction of knowledge-intensive systems.
Artificial intelligence. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Semantic Web --- Knowledge acquisition (Expert systems)
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This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Medical records --- Bioinformatics. --- Health Informatics. --- Computational Biology/Bioinformatics. --- Data processing. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Data processing --- Medical care --- Computational Biology/Bioinformatics --- Health informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Medicine --- Data Science. --- Medical Informatics. --- Precision Medicine --- methods. --- Computer Science, Medical --- Health Informatics --- Health Information Technology --- Informatics, Clinical --- Informatics, Medical --- Information Science, Medical --- Clinical Informatics --- Medical Computer Science --- Medical Information Science --- Health Information Technologies --- Informatics, Health --- Information Technology, Health --- Medical Computer Sciences --- Medical Information Sciences --- Science, Medical Computer --- Technology, Health Information --- Computational Biology --- Biomedical Technology --- American Recovery and Reinvestment Act --- Data Analytics --- Data-Driven Science --- Analytic, Data --- Analytics, Data --- Data Analytic --- Data Driven Science --- Data Sciences --- Data-Driven Sciences --- Science, Data --- Science, Data-Driven --- Sciences, Data --- Sciences, Data-Driven --- Big Data --- Bioinformatics
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