A big data and online health analytics framework extended to integrate clinical and countermeasure decision support

Computing frameworks that utilize big data analytics to support Clinical Decision Support Systems (CDSS) have proven to impact human lives in applications on Earth and in space. In the application of Space Medicine Decision Support Systems (SMDSS) on ISS missions and future space missions to the Moon and Mars, there is no known methodology that supports the unique challenges of human physiology in microgravity where countermeasure activities are conducted to help astronaut adaptation to spaceflight. There exist challenges in data integration, data synchronization, and spacecraft-to-ground communication limitations. To help address these challenges, this thesis proposes a framework for SMDSS that extends an existing big data online health analytics platform, Artemis, to support Clinical and Countermeasure Decision Support Systems. This framework has been instantiated by extending the Artemis platform. This is demonstrated within the context of countermeasure activities on the International Space Station (ISS) and a firefighter cold stress training activity.

Name thesis:degree_name

Master of Science (MSc)

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Ontario Institute of Technology

Year dc:date.issued

2022

Author dc:creator

• Yeung, Jennifer

Advisor dc:contributor.advisor

• McGregor, Carolyn

• Space medicine decision support system
• Information systems
• Cloud computing
• Big data analytics
• Online health analytics

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/10155/1435

OAI identifier oai:identifier

oai:ontariotechu.scholaris.ca:10155/1435