The Design of Cost Efficient Health Monitoring System based on Internet of Things and Big Data

Mararif, Muhammad Rifqi; Priyanto, Agung; Setiawan, Chanief Budi; Cahyo, Puji Winar

doi:10.1109/ictc.2018.8539374

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…Monitoring charts are formed from the results of calculations on the top 10 hashtags that are often used for one year by the ministry of health through the social media platform Instagram. The calculation process uses a Advances in Health Sciences Research, volume 34 calculation based on querying the results of database computing using MongoDB [19]. The hashtag monitoring graph can be seen in Figure 4.…”

Section: A Graph Monitoringmentioning

confidence: 99%

Analysis of Popular Hashtags on Instagram Account The Ministry of Health

Cahyo¹,

Habibi²,

Priadana³

et al. 2021

Proceedings of the International Conference on Health and Medical Sciences (AHMS 2020)

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Using the Instagram platform to distribute information on this decade is considered quite useful. The Ministry of Health Republic Indonesia has an Instagram account with the username kemenkes_ri used as a medium for distributing health information. That information delivers through Instagram posts always includes hashtags that are used as search keywords for the content that has been distributed. Therefore, analysis is performed on all posts made by kemenkes_ri for one year in 2019. From hashtag monitoring can be seen the total frequency of posts every month for one year and top 10 hashtags that are often used. Furthermore, From the results of the most popular hashtag can proceed to search for topics that are often discussed using a combination of bigram features, weighting Term Frequency-Inverse Document Frequency (TF-IDF), followed by Topic Modeling using Latent Dirichlet Allocation (LDA).

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Section: A Graph Monitoringmentioning

confidence: 99%

Analysis of Popular Hashtags on Instagram Account The Ministry of Health

Cahyo¹,

Habibi²,

Priadana³

et al. 2021

Proceedings of the International Conference on Health and Medical Sciences (AHMS 2020)

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Model-Driven Approach to Design & Architecture of Healthcare IoT Infrastructure

Mouine

Saied

2022

2022 3rd International Conference on Human-Centric Smart Environments for Health and Well-Being (IHSH)

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An Approach to Build e-Health IoT Reactive Multi-Services Based on Technologies around Cloud Computing for Elderly Care in Smart City Homes

Pérez

Salvachúa

2021

Applied Sciences

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Although there are e-health systems for the care of elderly people, the reactive characteristics to enhance scalability and extensibility, and the use of this type of system in smart cities, have been little explored. To date, some studies have presented healthcare systems for specific purposes without an explicit approach for the development of health services. Moreover, software engineering is hindered by agile management challenges regarding development and deployment processes of new applications. This paper presents an approach to develop health Internet of Things (IoT) reactive applications that can be widely used in smart cities for the care of elderly individuals. The proposed approach is based on the Rozanski and Woods’s iterative architectural design process, the use of architectural patterns, and the Reactive Manifesto Principles. Furthermore, domain-driven design and the characteristics of the emerging fast data architecture are used to adapt the functionalities of services around the IoT, big data, and cloud computing paradigms. In addition, development and deployment processes are proposed as a set of tasks through DevOps techniques. The approach validation was carried out through the implementation of several e-health services, and various workload experiments were performed to measure scalability and performance in certain parts of the architecture. The system obtained is flexible, scalable, and capable of handling the data flow in near real time. Such features are useful for users who work collaboratively in the care of elderly people. With the accomplishment of these results, one can envision using this approach for building other e-health services.

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The Design of Cost Efficient Health Monitoring System based on Internet of Things and Big Data

Cited by 3 publications

References 26 publications

Analysis of Popular Hashtags on Instagram Account The Ministry of Health

Analysis of Popular Hashtags on Instagram Account The Ministry of Health

Model-Driven Approach to Design & Architecture of Healthcare IoT Infrastructure

An Approach to Build e-Health IoT Reactive Multi-Services Based on Technologies around Cloud Computing for Elderly Care in Smart City Homes

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