Establishment of a mindmap for medical e-Diagnosis as a service for graph-based learning and analytics

Author:

Mohammed SabahORCID,Fiaidhi Jinan

Funder

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada

Mitacs

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference18 articles.

1. Aceto G, Persico V, Pescapé A (2020) Industry 4.0 and health: internet of things, big data, and cloud computing for healthcare 4.0. J Ind Inf Integr 18:100129

2. Cassettari L, Patrone C, Saccaro S (2019) Industry 4.0 and its applications in the healthcare sector: a systematic review, XXIV Summer School “Francesco Turco”—Industrial Systems Engineering. http://www.summerschool-aidi.it/edition-2019/cms/extra/papers/441.pdf

3. Albert SM, Shevchik GJ, Paone S, Martich GD (2011) Internet-based medical visit and diagnosis for common medical problems: experience of first user cohort. Telemed e-Health 17(4):304–308

4. Mun SK, Wong KH, Lo S-C, Li Y, Bayarsaikhan S (2021) Artificial intelligence for the future radiology diagnostic service. Front Mol Biosci 7:512

5. Doi K (2007) Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Comput Med Imaging Graph 31(4–5):198–211. https://doi.org/10.1016/j.compmedimag.2007.02.002

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