Internet of Things and Decision Support System for eHealth - Applied to Cardiometabolic Diseases

被引：6

作者：

Chatterjee, Parag ^{[1
]}

Luis Armentano, Ricardo ^{[1
]}

Javier Cymberknop, Leandro ^{[2
]}

机构：

[1] Natl Technol Univ UTN, Buenos Aires, DF, Argentina

[2] Natl Technol Univ UTN BA, Buenos Aires, DF, Argentina

来源：

2017 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND DATA SCIENCE (MLDS 2017) | 2017年

关键词：

Internet of Things; healthcare; remote care; decision support system; data analytics; prediction; risk; cardiometabolic diseases; WEARABLE SENSORS;

D O I：

10.1109/MLDS.2017.22

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recent years have seen a phenomenal change in healthcare paradigms and Internet of Things (IoT) clubbed with data analytics has been a key player in this field. IoT enables a common platform for seamless exchange between healthcare devices and stakeholders followed by advanced analysis of the shared pool of data. Also it marks the foundation of Clinical Decision Support Systems which act as an assistive tool for the medical personnel in getting a deeper insight to patients' health data and design more efficient and personalized treatment strategy. This work discusses a specific aspect of this emerging field of IoT-based eHealth related to remote patient monitoring system applied to cardiometabolic diseases. Such system counts significant towards decision support systems thanks to its efficient data analytics, enabling medical personnel to have a holistic visualization of the healthcare scenario.

引用

页码：75 / 79

页数：5

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