Managing Boundary Uncertainty in Diagnosing the Patients of Rural Area Using Fuzzy and Rough Set
Authors
Collection
Special Issue on Data-Driven Health Technology
Modern healthcare systems collect enormous amounts of data in electronic health records and other primary and secondary healthcare information systems. In recent years, there has been an increased focus on making better use of the collected data for monitoring, prevention, diagnosis, treatment, prognosis, administration, etc. There is a huge potential for development of novel and ready-to-deploy technical solutions with a high socio-economic impact to the benefit of patients (and their relatives), health professionals, and society at large.
Data-driven health technology is interdisciplinary in nature involving expertise from various fields such as health technology, computational intelligence, and health science.
Editors
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Uffe Kock Wiil
Head of Center, SDU Health Informatics and Technology University of Southern Denmark, Denmark
Articles (5 in this collection)
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The Impact on Ambulance Mobilisations of an Increasing Age Profile of Telecare Service Users Receiving Advanced Proactive, Personalised Telecare in Spain—a Longitudinal Study 2014–2018
Authors (first, second and last of 6)
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Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients
Authors (first, second and last of 10)
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