St Andrews Research Repository

St Andrews University Home
View Item 
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

Balancing prescriptions with constraint solvers

Thumbnail
View/Open
bookchapter_BC.pdf (799.7Kb)
Date
2019
Author
Bowles, Juliana Kuster Filipe
Caminati, Marco Bright
Keywords
QA75 Electronic computers. Computer science
RM Therapeutics. Pharmacology
BDC
R2C
Metadata
Show full item record
Abstract
Clinical guidelines are evidence-based care plans which detail the essential steps to be followed when caring for patients with a specific clinical problem, usually a chronic disease (e.g. diabetes, cardiovascular disease, chronic kidney disease, cancer, chronic obstructive pulmonary disease, and so on). Recommendations for chronic diseases include the medications (or group of medications) to be given at different stages of the treatment plan. We present an automated approach which combines constraint solvers and theorem provers to find the best solutions for treatment according to different criteria, and avoiding adverse drug reactions as much as possible. We extended the approach here to further refine the choice(s) to avoid dangerous or undesirable side effects.
Citation
Bowles , J K F & Caminati , M B 2019 , Balancing prescriptions with constraint solvers . in P Liò & P Zuliani (eds) , Automated Reasoning for Systems Biology and Medicine . Computational Biology , vol. 30 , Springer , Cham , pp. 243-267 . https://doi.org/10.1007/978-3-030-17297-8_9
Publication
Automated Reasoning for Systems Biology and Medicine
DOI
https://doi.org/10.1007/978-3-030-17297-8_9
ISSN
1568-2684
Type
Book item
Rights
© Springer Nature Switzerland AG 2019. This work has been made available online in accordance with publisher policies or with permission from the rights holder. Permissions for further reuse of this content should be sought from the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The published version should be used for citation purposes. The final published version of this work is available at https://doi.org/10.1007/978-3-030-17297-8_9
Description
Funding: UK EPSRC grant EP/M014290/1 and MRC grant MR/S003819/1.
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/20075

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Advanced Search

Browse

All of RepositoryCommunities & CollectionsBy Issue DateNamesTitlesSubjectsClassificationTypeFunderThis CollectionBy Issue DateNamesTitlesSubjectsClassificationTypeFunder

My Account

Login

Open Access

To find out how you can benefit from open access to research, see our library web pages and Open Access blog. For open access help contact: openaccess@st-andrews.ac.uk.

Accessibility

Read our Accessibility statement.

How to submit research papers

The full text of research papers can be submitted to the repository via Pure, the University's research information system. For help see our guide: How to deposit in Pure.

Electronic thesis deposit

Help with deposit.

Repository help

For repository help contact: Digital-Repository@st-andrews.ac.uk.

Give Feedback

Cookie policy

This site may use cookies. Please see Terms and Conditions.

Usage statistics

COUNTER-compliant statistics on downloads from the repository are available from the IRUS-UK Service. Contact us for information.

© University of St Andrews Library

University of St Andrews is a charity registered in Scotland, No SC013532.

  • Facebook
  • Twitter