Multi-objective optimal medical data informatics standardization and processing technique for telemedicine via machine learning approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02016-9.pdf
Reference19 articles.
1. Ahmed ST, Sandhya M (2019) Real-time biomedical recursive images detection algorithm for indian telemedicine environment. In: Cognitive informatics and soft computing. Springer, Singapore, pp 723–731. https://doi.org/10.1007/978-981-13-0617-4_68
2. Ahmed SST, Thanuja K, Nirmala SG, Narasimha S (2016) Telemedicine approach for remote patient monitoring system using smart phones with an economical hardware kit. In: 2016 international conference on computing technologies and intelligent data engineering (ICCTIDE'16). IEEE, pp 1–4. https://doi.org/10.1109/ICCTIDE.2016.7725324
3. Ahmed SST, Sandhya M, Shankar S (2019a) ICT’s role in building and understanding Indian telemedicine environment: a study. In: Information and communication technology for competitive strategies. Springer, Singapore, pp 391–397. https://doi.org/10.1007/978-981-13-0586-3_39
4. Ahmed ST, Sandhya M, Sankar S (2019b) An optimized RTSRV machine learning algorithm for biomedical signal transmission and regeneration for telemedicine environment. Proc Comput Sci 152:140–149
5. Ahmed ST, Sandhya M, Sankar S (2019c) A dynamic MooM dataset processing under TelMED protocol design for QoS improvisation of telemedicine environment. J Med Syst 43(8):257. https://doi.org/10.1007/s10916-019-1392-4
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