Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective
Autor: | Z. Faizal Khan, Sultan Refa Alotaibi |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Big Data
Medicine (General) Telemedicine Biomedical Research 020205 medical informatics Databases Factual Remote patient monitoring Computer science Big data Biomedical Engineering Health Informatics 02 engineering and technology Plan (drawing) Review Article Data type Health informatics R5-920 Artificial Intelligence Medical technology 0202 electrical engineering electronic engineering information engineering Electronic Health Records Humans R855-855.5 business.industry Data Science Medical research Data science 020201 artificial intelligence & image processing Surgery Applications of artificial intelligence business Delivery of Health Care Algorithms Cell Phone Medical Informatics Biotechnology |
Zdroj: | Journal of Healthcare Engineering Journal of Healthcare Engineering, Vol 2020 (2020) |
ISSN: | 2040-2309 2040-2295 |
Popis: | Mobile health (m-health) is the term of monitoring the health using mobile phones and patient monitoring devices etc. It has been often deemed as the substantial breakthrough in technology in this modern era. Recently, artificial intelligence (AI) and big data analytics have been applied within the m-health for providing an effective healthcare system. Various types of data such as electronic health records (EHRs), medical images, and complicated text which are diversified, poorly interpreted, and extensively unorganized have been used in the modern medical research. This is an important reason for the cause of various unorganized and unstructured datasets due to emergence of mobile applications along with the healthcare systems. In this paper, a systematic review is carried out on application of AI and the big data analytics to improve the m-health system. Various AI-based algorithms and frameworks of big data with respect to the source of data, techniques used, and the area of application are also discussed. This paper explores the applications of AI and big data analytics for providing insights to the users and enabling them to plan, using the resources especially for the specific challenges in m-health, and proposes a model based on the AI and big data analytics for m-health. Findings of this paper will guide the development of techniques using the combination of AI and the big data as source for handling m-health data more effectively. |
Databáze: | OpenAIRE |
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