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Pharmaceutical Decision Support System

Ågren, Marcus LU (2009) In LU-DV-EX DATM03 20082
Computer Science
Abstract
Choosing a suitable combination of pharmaceuticals is today done by manually examine all possible interactions and then come to a decision. The number of interactions grows rapidly with the number of substances involved, thereby complicating the work of finding an optimal combination. In this thesis I conduct a feasibility study on a pharmaceutical decision support system, capable of compiling interactiondata and compare combinations. Through the analysis of interaction rules, I am able to present a solution where a fuzzy
logic expertsystem is used.
Please use this url to cite or link to this publication:
author
Ågren, Marcus LU
supervisor
organization
alternative title
Farmaceutiskt beslutsstödjande system
course
DATM03 20082
year
type
H1 - Master's Degree (One Year)
subject
keywords
Farmaceutiskt beslutsstödjande system Pharmaceutical Decision Support System substans expertsystem beslutsstöd läkemedel fuzzy logic interaktion interaction analys analysis
publication/series
LU-DV-EX
report number
2009-126
ISSN
1651-6389
language
Swedish
id
1652653
date added to LUP
2010-08-11 09:20:09
date last changed
2016-02-04 03:50:00
@misc{1652653,
  abstract     = {Choosing a suitable combination of pharmaceuticals is today done by manually examine all possible interactions and then come to a decision. The number of interactions grows rapidly with the number of substances involved, thereby complicating the work of finding an optimal combination. In this thesis I conduct a feasibility study on a pharmaceutical decision support system, capable of compiling interactiondata and compare combinations. Through the analysis of interaction rules, I am able to present a solution where a fuzzy
logic expertsystem is used.},
  author       = {Ågren, Marcus},
  issn         = {1651-6389},
  keyword      = {Farmaceutiskt beslutsstödjande system Pharmaceutical Decision Support System substans expertsystem beslutsstöd läkemedel fuzzy logic interaktion interaction analys analysis},
  language     = {swe},
  note         = {Student Paper},
  series       = {LU-DV-EX},
  title        = {Pharmaceutical Decision Support System},
  year         = {2009},
}