Enhancing Digital Healthcare with IoMT and Big Data: A Computational Intelligence Approach
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3878-0_18
Reference7 articles.
1. Kapoor B (2022) EEG signals analysis and modelling for machine learning techniques in IoMT based wearable in healthcare. https://doi.org/10.21203/rs.3.rs-1810072/v2
2. Akila A, Parameswari R, Jayakumari C (2019) Big data in healthcare: management, analysis, and future prospects. J Big Data 6(54). https://doi.org/10.1002/9781119792550
3. Chaki J (2022) Deep learning in healthcare: applications, challenges, and opportunities. In: Tripathy BK, Lingras P, Kar AK, Chowdhary CL (eds) Next generation healthcare informatics. Studies in computational intelligence, vol 1039. Springer, Singapore. https://doi.org/10.1007/978-981-19-2416-3_2
4. Anand D, Kumar A (2021) IoT‐based automated healthcare system. In: 5th international conference on computing methodologies and communication (ICCMC). Erode, India, pp 364–368. https://doi.org/10.1002/9781119769293.ch17
5. Bora D (2019) Big data analytics in healthcare: a critical analysis. In: Advances in ubiquitous sensing applications for healthcare, big data analytics for intelligent healthcare management. Academic Press, pp 43–57. https://doi.org/10.1016/b978-0-12-818146-1.00003-9
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