Smart "Health of Things": a Model Based in Data Mining for an IoT Health System Used in Hospital and Home Urgencies

被引：0

作者：

Braga, Oton Crispim ^{[1
]}

Mendes Neto, Francisco Milton ^{[1
]}

Barbosa de Oliveira, Antonio Mauro ^{[2
]}

Costa Filho, Raimundo Valter ^{[2
]}

机构：

[1] UFERSA UERN, PPgCC, Mossoro, RN, Brazil

[2] IFCE, LAR, Aracati, CE, Brazil

来源：

WEBMEDIA 2019: PROCEEDINGS OF THE 25TH BRAZILLIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB | 2019年

关键词：

healthcare; data mining; wearable; Health of Things; EARLY WARNING SCORE;

D O I：

10.1145/3323503.3360630

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Studies indicate that the life expectancy of Brazilians is increasing, leading to an aging population and growing the number of people in home care. In this paper, a model is developed that generates alerts that may prevent urgent situations to patients and caregivers in the hospital and homecare environment. These alerts are generated from vital signs captured by wearable devices combined with standards from an unsupervised machine learning model that identifies risk situations. This work is the intelligent module of the "Health of Things", a project composed of hardware components (smartwatch prototype with measurement sensors), mobile application, web system, digital TV and FHIR API.

引用

页码：89 / 92

页数：4

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