1. SISN
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  3. Volume 12, 2022
  4. Application of automated planning technologies for completing the medical knowledge base

Application of automated planning technologies for completing the medical knowledge base

SISN.
2022;
Volume 12
: pp. 177 - 198
https://doi.org/10.23939/sisn2022.12.177
Authors:
  1. Dmytro Dosyn
  2. Andriy Yatsenko
  3. Vira Kovalevych
  4. Yousef Ibrahim Daradkeh
1
Lviv Polytechnic National University
2
PMI NASU
3
PMI NASU
4
Department of Computer Engineering and Networks, College of Engineering at Wadi Addawasir 11991, Prince Sattam Bin Abdulaziz University, KSA

The widespread implementation of intelligent decision support systems (IDSS) is hampered by the lack of methods and technologies for automatically filling the knowledge base during the operation of such systems. This problem is especially acute in the medical field. Its solution lies in the application of automatic planning technologies. The methods and algorithms developed in this field for estimation the optimal strategy for solving problems, which are strictly formulated in terms of predicate logic, allow numerically evaluating the usefulness of new messages and thus ranking information by importance and automatically selecting essential information for entering it into the knowledge base. The paper proposes the architecture of a medical IDSS that implements this approach, substantiates the applicability of the Markov approximation for the formalization of automatic planning tasks in the medical field, shows the effectiveness of the proposed approach using the example of an informed choice of serum for influenza vaccination.

knowledge base
automated planning
ontology learning
intelligent decision support system
POMDP
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