A fuzzy logic-based warning system for patients classification

被引：19

作者：

Al-Dmour, Jumanah A. ^{[1
]}

Sagahyroon, Assim ^{[1
,2
]}

Al-Ali, A. R. ^{[1
]}

Abusnana, Salah ^{[2
]}

机构：

[1] Amer Univ Sharjah, Sharjah, U Arab Emirates

[2] Rashid Ctr Diabet & Res, Ajman, U Arab Emirates

来源：

HEALTH INFORMATICS JOURNAL | 2019年 / 25卷 / 03期

关键词：

fuzzy logic; medical scoring systems; Modified Early Warning Score; radio-frequency identification; vital signs; wireless monitoring; SCORE; IDENTIFICATION; OUTCOMES;

D O I：

10.1177/1460458217735674

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

Typically acute deterioration in sick people is preceded by subtle changes in the physiological parameters such as pulse and blood pressure. The Modified Early Warning Score is a scoring system developed to assist hospital staff in gauging these physiological changes and identifying patients in need of urgent medical care to avoid catastrophic deterioration. This work discusses the design and implementation of an equivalent warning system that utilizes fuzzy logic techniques to categorize patients' status. The system is implemented and tested in Rashid Centre for Diabetes and Research in UAE. Results are compared with those obtained using the Modified Early Warning System that is currently used in practice. We demonstrate that the implemented system provides reliable results that are in agreement with the current Modified Early Warning Score system, with the added benefit of a scoring scheme that provides a better insight into the status or medical condition of each patient.

引用

页码：1004 / 1024

页数：21

共 53 条

[1] A hierarchical fuzzy rule-based approach to aphasia diagnosis [J].

Akbarzadeh-T, Mohammad-R. ;

Moshtagh-Khorasani, Majid .

JOURNAL OF BIOMEDICAL INFORMATICS, 2007, 40 (05) :465-475

[2]

Al-Damour JA., 2013, THESIS

[3] The impact of the use of the Early Warning Score (EWS) on patient outcomes: A systematic review [J].

Alam, N. ;

Hobbelink, E. L. ;

van Tienhoven, A. J. ;

van de Ven, P. M. ;

Jansma, E. P. ;

Nanayakkara, P. W. B. .

RESUSCITATION, 2014, 85 (05) :587-594

[4]

American College of Surgeons Committee on Trauma, 1993, ADV TRAUM LIF SUPP C

[5]

[Anonymous], 2010, P INT MULT ENG COMP

[6]

[Anonymous], J APPL BIOMEDICAL EN

[7]

[Anonymous], 2017, Fuzzy Logic With Engineering Applications

[8]

Bai YW, 2012, P IEEE INT C CONS EL

[9] Sensor-Enabled RFID System for Monitoring Arm Activity: Reliability and Validity [J].

Barman, Joydip ;

Uswatte, Gitendra ;

Ghaffari, Touraj ;

Sokal, Brad ;

Byrom, Ezekiel ;

Trinh, Eva ;

Brewer, Michael ;

Varghese, Christopher ;

Sarkar, Nilanjan .

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2012, 20 (06) :771-777

[10]

Blanckenberg MM, 2009, P 31 IEEE ANN INT C

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