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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\u2019 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.<\/jats:p>","DOI":"10.1177\/1460458217735674","type":"journal-article","created":{"date-parts":[[2017,11,7]],"date-time":"2017-11-07T02:45:45Z","timestamp":1510022745000},"page":"1004-1024","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":28,"title":["A fuzzy logic\u2013based warning system for patients classification"],"prefix":"10.1177","volume":"25","author":[{"given":"Jumanah A","family":"Al-Dmour","sequence":"first","affiliation":[{"name":"American University of Sharjah, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Assim","family":"Sagahyroon","sequence":"additional","affiliation":[{"name":"American University of Sharjah, 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