An IoT assisted clinical decision support system for wound healthcare monitoring. (29th September 2021)

• Record Type: Journal Article
• Authors: Sattar, Hina; Bajwa, Imran Sarwar; Shafi, Umar Farooq
• Other Names: Lv Zhihan guestEditor.; Lloret Jaime guestEditor.; Song Houbing guestEditor.
• Is Part Of: Computational intelligence. Volume 38:Number 1(2022)
• Page Start: 269
• Page End: 306
• Publication Date: 2021-09-29
• Subjects: clinical decision support system -- fuzzy inference system -- Internet of Things -- Smart Healthcare; Artificial intelligence -- Periodicals; Computational linguistics -- Periodicals; 006.3
• DOI: 10.1111/coin.12482
• Languages: English
• ISSNs: 0824-7935

Abstract

Abstract: The patients with surgical and nonsurgical skin wounds shall maintain regular check on wounds in order to assure in‐time wound healing. There are numerous measures need to verify during wound checking, that is, wound appearance (wound color and size), wound environment. The wound appearance could verify by a number of clinical techniques presented by researchers of wound care domain, however measurement of wound environment shall fulfill by verification of different environmental factors as wound environment is composition of different factors which collectively formed wound internal environment and external environment. In current research, we presented a framework based on clinical decision support system for measurement of wound environment both internal and external. This framework contains different working module, which shall collaborate in order to check wound environment. We elaborated structural and implementation sketch of all these modules. The presented framework based on Internet of Things and machine learning algorithms to collect and analyze data effectively.