Title :

An interpretable knowledge-based decision support system and its applications in pregnancy diagnosis

Author(s) :

Song, Kehui [Auteur]
École nationale supérieure des arts et industries textiles [ENSAIT]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Zeng, Xianyi [Auteur]
École nationale supérieure des arts et industries textiles [ENSAIT]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Zhang, Y. [Auteur]
De Jonckheere, Julien [Auteur]
Centre d'Investigation Clinique - Innovation Technologique de Lille - CIC 1403 - CIC 9301 [CIC Lille]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Yuan, X. J. [Auteur]
Koehl, Ludovic [Auteur]
École nationale supérieure des arts et industries textiles [ENSAIT]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]

Journal title :

Knowledge-Based Systems

Abbreviated title :

Knowledge-Based Syst.

Volume number :

221

Pages :

-

Publication date :

2021-05-28

ISSN :

0950-7051

English keyword(s) :

Medical expert system
Decision making
Multi-granularity Linguistic Term Sets
Fuzzy best-worst method

HAL domain(s) :

Sciences de l'ingénieur [physics]

English abstract : [en]

This paper aims to propose an interpretable knowledge-based decision support system (IKBDSS) that will assist physicians to predict the risk level of a disease. Our system enables to integrate both historical cases extracted ...
Show more >This paper aims to propose an interpretable knowledge-based decision support system (IKBDSS) that will assist physicians to predict the risk level of a disease. Our system enables to integrate both historical cases extracted from database and opinions provided by different experts in order to set up a medical knowledge base and provide relevant advises by inferring from the knowledge base. To present various experts’ opinions, the Multi-granularity Linguistic Term Sets (MLTS) model is used to address the ambiguity and intangibility of knowledge. Our work mainly focuses on knowledge acquisition, similarity degree calculation and consistency checking process. It is worth mentioning that a criterion weights calculation method is introduced to objectively obtain the weights based on knowledge from experts, rather than subjectively predefined. The developed system leads to a better performance in specificity, sensitivity and score compared to other methods in the literature. To conclude, our work contributes to: (1) The development of a medical decision support system to combine clinical records and domain knowledge to predict diagnosis. (2) The decision-making process ensures interpretability, which increases the reliability of our system in terms of being a decision supporter. (3) The criterion weights are calculated based on the professional knowledge presented in MLTS form, and this process improves the capacity of providing diagnostic recommendations.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
ENSAIT
Junia HEI

Collections :

• Génie des matériaux textiles (GEMTEX) - ULR 2641
• METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Submission date :

2023-06-20T11:47:06Z
2024-03-21T08:51:54Z