Literature DB >> 29993699

Chronic Diseases and Health Monitoring Big Data: A Survey.

Rongheng Lin, Zezhou Ye, Hao Wang, Budan Wu.   

Abstract

With the advancement of technology in data science and network technology, the world has stepped into the Era of Big Data, and the medical field is rich in data suitable for analysis. Thus, in recent years, there has been much research in medical big data, mainly targeting data collection, data analysis, and visualization. However, very few works provide a full survey of the medical big data on chronic diseases and health monitoring. This review investigates recent research efforts and conducts a comprehensive overview of the work on medical big data, especially as related to chronic diseases and health monitoring. It focuses on the full cycles of the big data processing, which includes medical big data preprocessing, big data tools and algorithms, big data visualization, and security issues in big data. It also attempts to combine common big data technologies with special medical needs by analyzing in detail existing works of medical big data. To the best of our knowledge, this is the first survey that targets chronic diseases and health monitoring big data technologies.

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Mesh:

Year:  2018        PMID: 29993699     DOI: 10.1109/RBME.2018.2829704

Source DB:  PubMed          Journal:  IEEE Rev Biomed Eng        ISSN: 1937-3333


  3 in total

1.  Information and communication technology for increasing healthy ageing in people with non-communicable diseases: identifying challenges and further areas for development.

Authors:  Alessandro Monaco; Stefania Maggi; Paula De Cola; Tarek A Hassan; Katie Palmer; Shaantanu Donde
Journal:  Aging Clin Exp Res       Date:  2019-07-17       Impact factor: 3.636

Review 2.  Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review.

Authors:  Jawad Ahmed Chishtie; Jean-Sebastien Marchand; Luke A Turcotte; Iwona Anna Bielska; Jessica Babineau; Monica Cepoiu-Martin; Michael Irvine; Sarah Munce; Sally Abudiab; Marko Bjelica; Saima Hossain; Muhammad Imran; Tara Jeji; Susan Jaglal
Journal:  J Med Internet Res       Date:  2020-12-03       Impact factor: 5.428

Review 3.  Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction.

Authors:  Yun-Hsuan Chen; Mohamad Sawan
Journal:  Sensors (Basel)       Date:  2021-01-11       Impact factor: 3.576

  3 in total

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