Preliminary result on finding treatments for patients with comorbidity

Yuanlin Zhang, Zhizheng Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

According to some research, comorbidity is reported in 35 to 80% of all ill people [1]. Multiple guidelines are needed for patients with comorbid diseases. However, it is still a challenging problem to automate the application of multiple guidelines to patients because of redundancy, contraindicated, potentially discordant recommendations. In this paper, we propose a mathematical model for the problem. It formalizes and generalizes a recent approach proposed by Wilk and colleagues. We also demonstrate that our model can be encoded, in a straightforward and simple manner, in Answer Set Programming (ASP)-a class of Knowledge Representation languages. Our preliminary experiment also shows our ASP based implementation is efficient enough to process the examples used in the literature.

Original languageEnglish
Title of host publicationKnowledge Representation for Health Care - 6th International Workshop, KR4HC 2014, Revised Selected Papers
EditorsAnnette ten Teije, Silvia Miksch, David Riaño
PublisherSpringer-Verlag
Pages14-28
Number of pages15
ISBN (Electronic)9783319132808
DOIs
StatePublished - 2014
Event6th International Workshop on Knowledge Representation for Heath Care, KR4HC 2014 held as part of the 14th International Conference on Principles of Knowledge Representation and Reasoning, VSL 2014 - Vienna, Austria
Duration: Jul 21 2014Jul 21 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8903
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Workshop on Knowledge Representation for Heath Care, KR4HC 2014 held as part of the 14th International Conference on Principles of Knowledge Representation and Reasoning, VSL 2014
CountryAustria
CityVienna
Period07/21/1407/21/14

Keywords

  • Answer set programming
  • Clinical practice guidelines
  • Comorbidity
  • Knowledge representation

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