Expert Systems In A Cloud Computing Environment Model For Fast-Paced Decision Making

Bakator, Mihalj; Radosav, Dragica

doi:10.7251/jit1701024b

Cited by 2 publications

(1 citation statement)

References 10 publications

(16 reference statements)

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“…This point of view is supported by the studies conducted for a mobile application that are designed for hypertension and health management [43]- [45]. Besides, the computational process of the diagnosis can be placed in the cloud-based system to ensure data processing performance [46]- [50] and overcome the low computational memory in wearable devices [27].…”

Section: Discussionmentioning

confidence: 98%

Review on hypertension diagnosis using expert system and wearable devices

Sani¹,

Abdullah

Rosli

2022

IJECE

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<span>The popularity of smartphones and wearable devices is increasing in the global market. These devices track physical exercise records, heartbeat, medicines, and self-health diagnosis. The wearable devices can also collect personal health parameters include hypertension diagnosis. Hypertension is one of the risk factors for cardiovascular-related diseases among the Malaysian population. Many mobile applications are paired with wearable devices to monitor health conditions, but none of them able to diagnose hypertension. In this study, we reviewed research papers that focused on hypertension using expert systems and wearable devices. We performed a systematic literature review based on hypertension factors, expert systems, and wearable devices. We found 15 specific research papers after the filtering process. The key findings highlighted three main focuses, which are the factors of hypertension, the expert system techniques, and the types of sensors in wearable devices. Blood pressure is the most common factor of hypertension that can be collected by wearable devices. As for the expert system techniques, we determined the three most common techniques are machine learning, neural network, and fuzzy logic. Lastly, the wrist band is the most common sensor for wearable devices in hypertension-related research.</span>

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