A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine
Joint Authors
Calvo-Rolle, José Luis
Casteleiro-Roca, José-Luis
Gonzalez-Cava, Jose M.
Reboso, José Antonio
Méndez Pérez, Juan Albino
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-18
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
One of the main challenges in medicine is to guarantee an appropriate drug supply according to the real needs of patients.
Closed-loop strategies have been widely used to develop automatic solutions based on feedback variables.
However, when the variable of interest cannot be directly measured or there is a lack of knowledge behind the process, it turns into a difficult issue to solve.
In this research, a novel algorithm to approach this problem is presented.
The main objective of this study is to provide a new general algorithm capable of determining the influence of a certain clinical variable in the decision making process for drug supply and then defining an automatic system able to guide the process considering this information.
Thus, this new technique will provide a way to validate a given physiological signal as a feedback variable for drug titration.
In addition, the result of the algorithm in terms of fuzzy rules and membership functions will define a fuzzy-based decision system for the drug delivery process.
The method proposed is based on a Fuzzy Inference System whose structure is obtained through a decision tree algorithm.
A four-step methodology is then developed: data collection, preprocessing, Fuzzy Inference System generation, and the validation of results.
To test this methodology, the analgesia control scenario was analysed.
Specifically, the viability of the Analgesia Nociception Index (ANI) as a guiding variable for the analgesic process during surgical interventions was studied.
Real data was obtained from fifteen patients undergoing cholecystectomy surgery.
American Psychological Association (APA)
Gonzalez-Cava, Jose M.& Reboso, José Antonio& Casteleiro-Roca, José-Luis& Calvo-Rolle, José Luis& Méndez Pérez, Juan Albino. 2018. A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine. Complexity،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1136455
Modern Language Association (MLA)
Gonzalez-Cava, Jose M.…[et al.]. A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine. Complexity No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1136455
American Medical Association (AMA)
Gonzalez-Cava, Jose M.& Reboso, José Antonio& Casteleiro-Roca, José-Luis& Calvo-Rolle, José Luis& Méndez Pérez, Juan Albino. A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine. Complexity. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1136455
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136455