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Chapter

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Title

Towards an AI Planning-Based Pipeline for the Management of Multimorbid Patients

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2022

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • Multimorbidity
  • AI planning
  • End-to-end pipeline
Abstract

EN Treatment of patients with multimorbidity is one of the greatest challenges for clinical decision support. While evidence-based management of specific diseases is supported by clinical practice guidelines, concurrent application of multiple guidelines requires checking for possible adverse interactions between interventions and mitigating them, before a management plan is constructed. In earlier work, we developed an approach that casts the problem of multimorbidity management as an AI planning problem. In this paper we build on this earlier work and make progress towards creating a pipeline that inputs disease and patient-specific information and outputs a management plan. We describe research focused on selected aspects of pipeline development and illustrate these aspects with a clinical case implemented using the PDDL planning language and the OPTIC planner.

Date of online publication

09.07.2022

Pages (from - to)

14 - 23

DOI

10.1007/978-3-031-09342-5_2

URL

https://link.springer.com/chapter/10.1007/978-3-031-09342-5_2

Book

Artificial Intelligence in Medicine : 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14–17, 2022 : Proceedings

Presented on

20th International Conference on Artificial Intelligence in Medicine AIME 2022, 14-17.06.2022, Halifax, Canada

Ministry points / chapter

20

Ministry points / conference (CORE)

70

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