Big Data and Artificial Intelligence for E-Health-Reference-Cited by-同舟云学术

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Big Data and Artificial Intelligence for E-Health

Published:2022 Issue: Volume: Page:525-544
ISSN:2662-9461
Container-title:Integrated Science
language:
Short-container-title:

Author:

Sakly Houneida,Said Mourad,Seekins Jayne,Tagina Moncef

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-96814-4_23

Reference78 articles.

1. Raghupathi W, Raghupathi V (2014) Big data analytics in healthcare: promise and potential. Health Inf Sci Syst 2:3. https://doi.org/10.1186/2047-2501-2-3

2. Sarkies MN, Bowles K-A, Skinner EH, Mitchell D, Haas R, Ho M, Salter K, May K, Markham D, O’Brien L, Plumb S, Haines TP (2015) Data collection methods in health services research: hospital length of stay and discharge destination. Appl Clin Inform 6:96–109. https://doi.org/10.4338/ACI-2014-10-RA-0097

3. Tan SS-L, Gao G, Koch S (2015) Big data and analytics in healthcare. Methods Inf Med 54:546–547. https://doi.org/10.3414/ME15-06-1001

4. Baghapour MA, Shooshtarian MR, Javaheri MR, Dehghanifard S, Sefidkar R, Nobandegani AF (2018) A computer-based approach for data analyzing in hospital’s healthcare waste management sector by developing an index using consensus-based fuzzy multi-criteria group decision-making models. Int J Med Inf 118:5–15. https://doi.org/10.1016/j.ijmedinf.2018.07.001

5. Bates DW, Saria S, Ohno-Machado L, Shah A, Escobar G (2014) Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Aff Proj Hope 33:1123–1131. https://doi.org/10.1377/hlthaff.2014.0041

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