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"FAIR Health Informatics: A health informatics framework for verifiable and explainable data analysis"
The recent COVID-19 pandemic has hit humanity very hard in ways rarely observed before. In this digitally connected world, the health informatics and clinical research domains (both public and private) lack a robust framework to enable rapid investigation and cures. Since data in the healthcare domain are highly confidential, any framework in the healthcare domain must work on real data, be verifiable, and support reproducibility for evidence purposes. In this paper, we propose a health informatics framework that supports data acquisition from various sources in real-time, correlates these data from various sources among each other and to the domain-specific terminologies, and supports querying and analyses ... (Full article...)
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