Enhancing reaction systems with guards for analysing comorbidity treatment strategies

Juliana Kuster Filipe Bowles; Linda Brodo; Roberto Bruni; Moreno Falaschi; Roberta  Gori; Paolo Milazzo

doi:10.1007/978-3-031-71671-3_3

Enhancing reaction systems with guards for analysing comorbidity treatment strategies

Juliana Kuster Filipe Bowles, Linda Brodo, Roberto Bruni, Moreno Falaschi, Roberta Gori, Paolo Milazzo

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The coexistence of multiple medical conditions in an individual presents a complex challenge in healthcare. This research aims to enhance the analysis of comorbidity treatment plans by capturing nuanced interactions between different medical conditions and treatment interventions. Reaction systems provide a formal framework for modelling and analysing systems in which the dynamics is driven by promotion/inhibition mechanisms and external intervention of context processes. This study explores the integration of guards into context processes to increase the expressiveness of the formalism in order to analyse treatment plans for comorbidities. Through the analysis of combined clinical guidelines for atrial fibrillation and hypertension, we demonstrate the applicability and utility of this approach in optimizing patient care and improving health outcomes in the context of complex medical scenarios.

Original language	English
Title of host publication	Computational methods in systems biology
Subtitle of host publication	22nd International conference, CMSB 2024, Pisa, Italy, September 16–18, 2024, Proceedings
Editors	Roberta Gori, Paolo Milazzo, Mirco Tribastone
Place of Publication	Cham
Publisher	Springer
Pages	27-44
ISBN (Electronic)	9783031716713
ISBN (Print)	9783031716706
DOIs	https://doi.org/10.1007/978-3-031-71671-3_3
Publication status	Published - 19 Sept 2024
Event	22nd International Conference on Computational Methods in Systems Biology (CMSB 2024) - Pisa, Italy Duration: 16 Sept 2024 → 18 Sept 2024 Conference number: 22 https://biomedinfo.di.unipi.it/cmsb2024/

Publication series

Name	Lecture notes in computer science
Publisher	Springer
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Computational Methods in Systems Biology (CMSB 2024)
Abbreviated title	CMSB 2024
Country/Territory	Italy
City	Pisa
Period	16/09/24 → 18/09/24
Internet address	https://biomedinfo.di.unipi.it/cmsb2024/

Keywords

Reaction systems
Clinical guidelines
SOS semantics

Access to Document

10.1007/978-3-031-71671-3_3

Bowles-2024-Enhancing-reaction-systems-CSMB2024-AAM-CCBY
Copyright © 2024 the Authors. This work has been made available online in accordance with the University of St Andrews Open Access policy. This accepted manuscript is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The final published version of this work is available at https://doi.org/10.1007/978-3-031-71671-3_3.
Accepted author manuscript, 5.33 MBLicence: CC BY

Cite this

Kuster Filipe Bowles, J., Brodo, L., Bruni, R., Falaschi, M., Gori, R., & Milazzo, P. (2024). Enhancing reaction systems with guards for analysing comorbidity treatment strategies. In R. Gori, P. Milazzo, & M. Tribastone (Eds.), Computational methods in systems biology : 22nd International conference, CMSB 2024, Pisa, Italy, September 16–18, 2024, Proceedings (pp. 27-44). (Lecture notes in computer science). Springer. https://doi.org/10.1007/978-3-031-71671-3_3

Kuster Filipe Bowles, Juliana ; Brodo, Linda ; Bruni, Roberto et al. / Enhancing reaction systems with guards for analysing comorbidity treatment strategies. Computational methods in systems biology : 22nd International conference, CMSB 2024, Pisa, Italy, September 16–18, 2024, Proceedings. editor / Roberta Gori ; Paolo Milazzo ; Mirco Tribastone. Cham : Springer, 2024. pp. 27-44 (Lecture notes in computer science).

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title = "Enhancing reaction systems with guards for analysing comorbidity treatment strategies",

abstract = "The coexistence of multiple medical conditions in an individual presents a complex challenge in healthcare. This research aims to enhance the analysis of comorbidity treatment plans by capturing nuanced interactions between different medical conditions and treatment interventions. Reaction systems provide a formal framework for modelling and analysing systems in which the dynamics is driven by promotion/inhibition mechanisms and external intervention of context processes. This study explores the integration of guards into context processes to increase the expressiveness of the formalism in order to analyse treatment plans for comorbidities. Through the analysis of combined clinical guidelines for atrial fibrillation and hypertension, we demonstrate the applicability and utility of this approach in optimizing patient care and improving health outcomes in the context of complex medical scenarios.",

keywords = "Reaction systems, Clinical guidelines, SOS semantics",

author = "{Kuster Filipe Bowles}, Juliana and Linda Brodo and Roberto Bruni and Moreno Falaschi and Roberta Gori and Paolo Milazzo",

note = "Funding: Research supported by the Next Generation EU project PNRR ECS00000017 “THE - Tuscany Health Ecosystem” (Spoke 3 - CUP B63C22000680007, and Spoke 6 - CUP I53C22000780001), the Next Generation EU projects MEDICA (PRIN 2022, CUP_B53D23013170006 CUP_I53D23003720006), DELICE (PRIN PNRR 2022, P20223T2MF), RAP (PRIN PNRR 2022, P2022HXNSC), the INdAM GNCS project CUP_E53C22001930001, and the Austrian Science Fund (FWF) project Meitner M 3338-N.; 22nd International Conference on Computational Methods in Systems Biology (CMSB 2024), CMSB 2024 ; Conference date: 16-09-2024 Through 18-09-2024",

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doi = "10.1007/978-3-031-71671-3_3",

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editor = "Roberta Gori and Paolo Milazzo and Mirco Tribastone",

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Kuster Filipe Bowles, J, Brodo, L, Bruni, R, Falaschi, M, Gori, R & Milazzo, P 2024, Enhancing reaction systems with guards for analysing comorbidity treatment strategies. in R Gori, P Milazzo & M Tribastone (eds), Computational methods in systems biology : 22nd International conference, CMSB 2024, Pisa, Italy, September 16–18, 2024, Proceedings. Lecture notes in computer science, Springer, Cham, pp. 27-44, 22nd International Conference on Computational Methods in Systems Biology (CMSB 2024), Pisa, Italy, 16/09/24. https://doi.org/10.1007/978-3-031-71671-3_3

Enhancing reaction systems with guards for analysing comorbidity treatment strategies. / Kuster Filipe Bowles, Juliana; Brodo, Linda; Bruni, Roberto et al.
Computational methods in systems biology : 22nd International conference, CMSB 2024, Pisa, Italy, September 16–18, 2024, Proceedings. ed. / Roberta Gori; Paolo Milazzo; Mirco Tribastone. Cham: Springer, 2024. p. 27-44 (Lecture notes in computer science).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Enhancing reaction systems with guards for analysing comorbidity treatment strategies

AU - Kuster Filipe Bowles, Juliana

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AU - Falaschi, Moreno

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AU - Milazzo, Paolo

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N2 - The coexistence of multiple medical conditions in an individual presents a complex challenge in healthcare. This research aims to enhance the analysis of comorbidity treatment plans by capturing nuanced interactions between different medical conditions and treatment interventions. Reaction systems provide a formal framework for modelling and analysing systems in which the dynamics is driven by promotion/inhibition mechanisms and external intervention of context processes. This study explores the integration of guards into context processes to increase the expressiveness of the formalism in order to analyse treatment plans for comorbidities. Through the analysis of combined clinical guidelines for atrial fibrillation and hypertension, we demonstrate the applicability and utility of this approach in optimizing patient care and improving health outcomes in the context of complex medical scenarios.

AB - The coexistence of multiple medical conditions in an individual presents a complex challenge in healthcare. This research aims to enhance the analysis of comorbidity treatment plans by capturing nuanced interactions between different medical conditions and treatment interventions. Reaction systems provide a formal framework for modelling and analysing systems in which the dynamics is driven by promotion/inhibition mechanisms and external intervention of context processes. This study explores the integration of guards into context processes to increase the expressiveness of the formalism in order to analyse treatment plans for comorbidities. Through the analysis of combined clinical guidelines for atrial fibrillation and hypertension, we demonstrate the applicability and utility of this approach in optimizing patient care and improving health outcomes in the context of complex medical scenarios.

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KW - SOS semantics

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BT - Computational methods in systems biology

A2 - Gori, Roberta

A2 - Milazzo, Paolo

A2 - Tribastone, Mirco

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Y2 - 16 September 2024 through 18 September 2024

ER -

Kuster Filipe Bowles J, Brodo L, Bruni R, Falaschi M, Gori R, Milazzo P. Enhancing reaction systems with guards for analysing comorbidity treatment strategies. In Gori R, Milazzo P, Tribastone M, editors, Computational methods in systems biology : 22nd International conference, CMSB 2024, Pisa, Italy, September 16–18, 2024, Proceedings. Cham: Springer. 2024. p. 27-44. (Lecture notes in computer science). doi: 10.1007/978-3-031-71671-3_3

Enhancing reaction systems with guards for analysing comorbidity treatment strategies

Abstract

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Keywords

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