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CDSS Architecture: Oriented on Hierarchical Reinforcement Learning by Automated Planning

CDSS Architecture: Oriented on Hierarchical Reinforcement Learning by Automated Planning

Dmytro Dosyn
Copyright: © 2023 |Pages: 26
ISBN13: 9781668450925|ISBN10: 1668450925|ISBN13 Softcover: 9781668450932|EISBN13: 9781668450949
DOI: 10.4018/978-1-6684-5092-5.ch003
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MLA

Dosyn, Dmytro. "CDSS Architecture: Oriented on Hierarchical Reinforcement Learning by Automated Planning." Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems, edited by Thomas M. Connolly, et al., IGI Global, 2023, pp. 58-83. https://doi.org/10.4018/978-1-6684-5092-5.ch003

APA

Dosyn, D. (2023). CDSS Architecture: Oriented on Hierarchical Reinforcement Learning by Automated Planning. In T. Connolly, P. Papadopoulos, & M. Soflano (Eds.), Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems (pp. 58-83). IGI Global. https://doi.org/10.4018/978-1-6684-5092-5.ch003

Chicago

Dosyn, Dmytro. "CDSS Architecture: Oriented on Hierarchical Reinforcement Learning by Automated Planning." In Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems, edited by Thomas M. Connolly, Petros Papadopoulos, and Mario Soflano, 58-83. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-5092-5.ch003

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Abstract

Patient-oriented data-driven CDSS architecture, based on adaptive ontology, is proposed as a perspective for a future development of intelligent medical decision support systems. A human body (anatomy and physiology) knowledge base should be the basic component of the system with the possibility to permanently automated update the deeply structured data, both general and personal, using the technologies of ontology learning, natural language processing, and automated planning. Already existing information technologies, standards, and protocols allow implementing such an approach in a healthcare domain in a framework of FHIR HL7.org standard.

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