Healthcare data analysis system for regional medical union in smart city

Xu, Bin; Li, Ling; Hu, Daiping; Wu, Bin; Ye, Congcong; Cai, Hongming

doi:10.1080/23270012.2018.1490211

Cited by 44 publications

(28 citation statements)

References 19 publications

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“…Concerning the detection of an infectious disease outbreak, e.g. the identification of an emergency pattern may be done through the analysis of the number of requested medical assistance in an area or the processing of social media for abnormal behaviour [16, 17]. Alerting: after an emergency is detected, some alerting procedure has to be performed.…”

Section: Cities: An Emergency‐prone Environmentmentioning

confidence: 99%

COVID‐19 pandemic: a review of smart cities initiatives to face new outbreaks

Costa

Peixoto

2020

IET Smart Cities

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While the world still struggles against the devastating effects of the COVID-19 pandemic, governments and organisations are discussing how new technologies can be exploited to relieve its impacts and how future pandemics can be avoided or minimised. Among the envisioned solutions, the development of more efficient and widespread smart city initiatives can improve the way critical data is retrieved, processed, stored, and disseminated, potentially improving the detection and mitigation of outbreaks while reducing the execution time when taking critical actions. In fact, some first responses to this pandemic are exploiting different technological solutions that could be ultimately adopted in more integrated city-scale systems, opening many possibilities. Therefore, this study discusses potential solutions and review recent approaches that can be exploited in this complex scenario, describing feasible and promising development trends for the construction of the new expected health-centric smart cities.

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Section: Cities: An Emergency‐prone Environmentmentioning

confidence: 99%

COVID‐19 pandemic: a review of smart cities initiatives to face new outbreaks

Costa

Peixoto

2020

IET Smart Cities

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“…Data mining techniques provide the strong capability to find or extract the related and hidden pattern, meaningful data or knowledgeable information from data repository or warehouses. Data mining has the variegated approaches and techniques, which are used for various functions in understanding knowledge discovery [5,6]. Classification, clustering, statistical techniques, regression, machine learning, association rule, prediction, visualization, etc., are the base for the data mining techniques and methods.…”

Section: Data Mining In Healthcare Decision Makingmentioning

confidence: 99%

“…Accessing data or record is privilege given to hospital, government organization or authentic agencies only for data analysis, examination and decision making. Such type of system reduces the paper work and increase the accessibility of data anytime [1,5]. The proposed healthcare model provides an interface between user, patient and medical expert or doctors, where data is store in database module and decision making process uses the existing public healthcare data and knowledge base retrieved from rural knowledge base for decision making in public healthcare.…”

Section: Decision Module (Decision Making)mentioning

confidence: 99%

Three-Dimensional Healthcare Model for Effective Decision Making

Sharma*,

Fatima,

Saxena

2019

IJITEE

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Healthcare is the right of every human being but shortage of medical professional, healthcare institutions and use of modern information technology, it is not possible to provide high-quality healthcare services to facilitate them. In the developing country like India greater part of peoples are living in rural areas and face principal disaster due to insufficiency of ideal healthcare institutions as well as medical professionals. The rural clinical health centre might also have medicines to grant first aid, but may not have the expertise. People of India in rural areas have to journey long distances to access suitable healthcare which can be the difference between life and death in the case of emergency. It shows that the immense gap between doctor and patient or people and health care system. We attempt to fulfill that gap and proposed a healthcare model to improve healthcare quality and take effective decisions. The proposed healthcare model will capable to take effective decisions for health related issues specially for people of rural India.

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“…This thesis proposes a cloud-converged health IoT architecture, which integrates the health cloud platform with the sensing layer deeply by integrating multiple communication technologies to optimize the user experience and make the health IoT application more closely connected with people [23][24][25]. The whole architecture consists of the health IoT perception layer, transmission layer, and health cloud service layer.…”

Section: Introductionmentioning

confidence: 99%

Optimization of IoT-Based Artificial Intelligence Assisted Telemedicine Health Analysis System

Heng

Zhou

2021

IEEE Access

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This paper presents an in-depth study and exploration of the health IoT architecture and related implementation technologies from both theoretical and practical aspects, with important theoretical significance and practical application value. The research includes cloud fusion health IoT architecture, multimodal information acquisition in health IoT perception layer, multi-level service quality assurance of health IoT based on human LAN, and emotional perception and emotional interaction in health IoT. In terms of health IoT architecture, the cloud convergence health IoT architecture is proposed to deeply integrate the health cloud platform and perception layer by integrating multiple communication technologies to optimize the user experience and make health IoT applications more closely connected with people. This paper describes the basic concepts and main components of multimodal sensing information collection, the design and implementation of a health monitoring cloud robotics platform, robotics-based multimodal data sensing and aggregation, and high comfort sustainable physiological signal collection based on smart clothes. The feasibility and performance of the QoS framework proposed in this paper are verified by computer simulations. In this paper, migration learning is used to implement emotion data labeling, continuous conditional random fields to identify emotions based on data collected from smartphones and smart clothes, respectively, and finally decision layer fusion for emotion classification prediction.INDEX TERMS Internet of things, artificial intelligence, telemedicine, health monitoring, data analysis.

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Healthcare data analysis system for regional medical union in smart city

Cited by 44 publications

References 19 publications

COVID‐19 pandemic: a review of smart cities initiatives to face new outbreaks

COVID‐19 pandemic: a review of smart cities initiatives to face new outbreaks

Three-Dimensional Healthcare Model for Effective Decision Making

Optimization of IoT-Based Artificial Intelligence Assisted Telemedicine Health Analysis System

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