Big data analytics for enhanced clinical decision support systems during spaceflight

Publication Type:
Conference Proceeding
2017 IEEE Life Sciences Conference, LSC 2017, 2018, 2018-January pp. 296 - 299
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
08268201.pdfPublished version1.23 MB
Adobe PDF
© 2017 IEEE. Recent advancements in the field of space medicine and technology have extended the boundaries of space travel, presenting humankind with the ability to explore undiscovered habitats. As humans embark on long range missions, adaptation mechanisms will be put to the test, challenging provision of medical care in space. To date, a vast amount of knowledge has been accumulated through a series of experiments, both in terrestrial simulation environments and space missions on the ISS. As a result, functional health state algorithm has been developed and validated by IBMP, to identify transitional states between health and disease. Significant limitations on provision of medical care in space are imposed due to retrospective data processing and analysis techniques. Some of these limitations can be addressed by the proposed instantiation of the functional state algorithm within the Online Analytics component of the Artemis platform, to enhance clinical decision support systems during spaceflight.
Please use this identifier to cite or link to this item: