Personalized Decision Support System Based on Clinical Practice Guidelines

被引：3

作者：

Douali, Nassim ^{[1
]}

De Roo, Jos ^{[2
]}

Sweetman, Pauline ^{[3
]}

Papageorgiou, Elpiniki I. ^{[4
]}

Dollon, Jullien ^{[5
]}

Jaulent, Marie-Christine ^{[1
]}

机构：

[1] Pierre & Marie Curie Univ, Sorbonne Univ, Fac Med, INSERM UMRS 1142, Paris, France

[2] Agfa HealthCare NV, Agfa HealthCare, Ghent, Belgium

[3] NoemaLife UK, Birmingham, W Midlands, England

[4] Technol Educ Inst Lamia, Dept Informat & Comp Technol, Athens, Greece

[5] Microsoft Res, Redmond, WA USA

来源：

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON WEARABLE MICRO AND NANO TECHNOLOGIES FOR PERSONALIZED HEALTH (PHEALTH 2015) | 2015年 / 211卷

关键词：

Fuzzy Cognitive Maps; Decision Making; Notation3; Artificial Intelligence; Decision Support Systems; Knowledge Representation; personalized medicine; practice guidelines;

D O I：

10.3233/978-1-61499-516-6-308

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Personalized medicine is a broad and rapidly advancing field of health care that is informed by each person's unique clinical, genetic, genomic, and environmental information. Health care that embraces personalized medicine is an integrated, coordinated, evidence based approach to individualizing patient care across the continuum. It is very important to make the right treatment decision but before that to obtain a good diagnosis. There are several clinical forms of disease whose symptoms vary depending on the age and etiology. In this study, we investigated and evaluated a model framework, for personalized diagnostic decisions, based on Case Based Fuzzy Cognitive Map (CBFCM, a cognitive process applying the main features of fuzzy logic and neural processors to situations involving imprecision and uncertain descriptions, in a similar way to intuitive human reasoning. We explored the use of this method for modelling clinical practice guidelines.

引用

页码：308 / 310

页数：3