References
- A. Limaye and T. Adegbija, A benchmark suite for the internet of medical things, IEEE Internet Things J. 5 (2018), no. 5, 4212-4222. https://doi.org/10.1109/JIOT.2018.2849859
- G. Kalyani and S. Chaudhari, An efficient approach for enhancing security in internet of things using the optimum authentication key, Int. J. Comput. Applic. 42 (2019), no. 3, 306-314.
- R. K. Pathinarupothi, P. Durga, and E. S. Rangan, IoT-based smart edge for global health: Remote monitoring with severity detection and alert transmission, IEEE Internet Things J. 6 (2019), no. 2, 2449-2462. https://doi.org/10.1109/JIOT.2018.2870068
- G. Yang, L. Xie, M. Mantysalo, X. Zhou, Z. Pang, L. Da Xu, S. Kao-Walter, Q. Chen, and L. R. Zheng, A health-IoT platform based on the integration of intelligent packaging, unobtrusive bio-sensor, and intelligent medicine box, IEEE Trans. Indust. Informatics. 10 (2014), no. 4, 2180-2191. https://doi.org/10.1109/TII.2014.2307795
- Y. Huang, Q. Zhao, Q. Zhou, and W. Jiang, Air quality forecast monitoring and its impact on brain health based on big data and the Internet of things, IEEE Access. 6 (2018), 78678-78688. https://doi.org/10.1109/ACCESS.2018.2885142
- U. Satija, B. Ramkumar, and M. S. Manikandan, Real-time signal quality-aware ECG telemetry system for IoT-based health care monitoring, IEEE Internet Things J. 4 (2017), no. 3, 815-823. https://doi.org/10.1109/JIOT.2017.2670022
- C. F. Pasluosta et al., An emerging era in the management of Parkinson's disease: Wearable technologies and the internet of things, IEEE J. Biomed. Health Informat. 19 (2015), no. 6, 1873-1881. https://doi.org/10.1109/JBHI.2015.2461555
- S. Yang, B. Gao, L. Jiang, J. Jin, Z. Gao, X. Ma, and W. L. Woo, IoT structured long-term wearable social sensing for mental wellbeing, IEEE Int. Things J. 6 (2019), no. 2, 3652-3662. https://doi.org/10.1109/JIOT.2018.2889966
- M. Al Disi, H. Djelouat, C. Kotroni, E. Politis, A. Amira, F. Bensaali, G. Dimitrakopoulos, and G. Alinier, ECG signal reconstruction on the IoT-gateway and efficacy of compressive sensing under real-time constraints, IEEE Access. 6 (2018), 69130-69140. https://doi.org/10.1109/ACCESS.2018.2877679
- M. Koulali et al., Industrial internet of things-based prognostic health management: A mean-field stochastic game approach, IEEE Access. 6 (2018), 54388-54395. https://doi.org/10.1109/ACCESS.2018.2871859
- T. C. Arcadius, B. Gao, G. Y. Tian, and Y. Yan, Structural health monitoring framework based on internet of things: A survey, IEEE Internet Things J. 4 (2017), no. 3, 619-635. https://doi.org/10.1109/JIOT.2017.2664072
- J. Rodrigues et al., Enabling technologies for the internet of health things, IEEE Access. 6 (2018), 13129-13141. https://doi.org/10.1109/ACCESS.2017.2789329
- P. Verma and S. K. Sood, Fog-assisted IoT-enabled patient health monitoring in smart homes, IEEE Internet Things J. 5 (2018), no. 3, 1789-1796. https://doi.org/10.1109/JIOT.2018.2803201
- M. Wazid, A. K. Das, V. Odelu, N. Kumar, M. Conti, and M. Jo, Design of secure user authenticated key management protocol for generic IoT networks, IEEE Int. Things J. 5 (2018), no. 1, 269-282. https://doi.org/10.1109/JIOT.2017.2780232
- A. Kamilaris and A. Pitsillides, Mobile phone computing and the internet of things: A Survey, IEEE Internet Things J. 3 (2019), no. 6, 885-898.
- H. Zhang, J. Li, B. Wen, Y. Xun, and J. Liu, Connecting intelligent things in smart hospitals using NB-IoT, IEEE Internet Things J. 5 (2018), no. 3, 1550-1560.
- T. Pan and K. Fang, An effective information support system for medical management: Indicator-based intelligence system, Int. J. Comput. Applic. 32 (2015), 119-124.
- Y. J. Tseng and Y. L. Shih, Developing epidemic forecasting models to assist disease surveillance for influenza using electronic health records, Int. J. Comput. Applic. 42 (2019), no. 6, 616-621.
- X. Wang, L. F. Li, W. Shi, and Z. Hong, Analysis on the payment of urban medical insurance for community outpatients of two groups, Int. J. Comput. Applic. 1 (2013), no. 4, 166-169.
- Lupus Foundation of America, National Resource Center on the Lupus, 2018. available at https://www.lupus.org/resources
- S. K. Dhar, S. S. Bhunia, and N. Mukherjee, Interference-aware scheduling of sensors in IoT-enabled health-care monitoring system, Proc. 4th Int. Conf. Emerg. Applic. Informat. Technol., Kolkata, India. (2014), 152-157.
- Z. Zhang, J. Brazil, M. Ozkaynak, and K. Desanto, Evaluative research of technologies for prehospital communication and coordination: A systematic review, J. Medic. Sys. 44 (2020), no. 5, 100. https://doi.org/10.1007/s10916-020-01556-z
- R. Vaishya, M. Javaid, I. H. Khan, and A. Haleem, Artificial intelligence (AI) applications for COVID-19 pandemic, Diabet. Metabol. Syndr. 14 (2020), no. 4, 337-339. https://doi.org/10.1016/j.dsx.2020.04.012
- A. S. Adly and M. S. Adly, Approaches based on artificial intelligence and the internet of intelligent things to prevent the spread of COVID-19: Scoping review, J. Medic. Internet Res. 22 (2020), no. 8.
- T. T. Allen and A. Arora, Conceptualizing artificial intelligence as a digital healthcare innovation: An introductory review, Medic. Dev. Auckland. 13 (2020), 223-230.
- W. Zhao, L. Wang, and Z. Zhang, Atom search optimization and its application to solve a hydrogeologic parameter estimation problem, Knowl. Based Sys. 163 (2018), 283-304. https://doi.org/10.1016/j.knosys.2018.08.030
- M. A. Syed, K. Sankar, T. Benil, and Y. N. Rao, A hybrid machine-learning technique for the early prediction of lung nodules from medical images using a learning-based neural network classifier, Concurr. Computat. Pract. Exper. 35 (2022), e7488. https://doi.org/10.1002/cpe.7488
- E. L. Hazen, B. Abrahms, S. Brodie, G. Carroll, M. G. Jacox, M. S. Savoca, K. L. Scales, W. J. Sydeman, and S. J. Bograd, Marine top predators as climate and ecosystem sentinels, Front. Ecol. Environ. 17 (2019), no. 10, 565-574. https://doi.org/10.1002/fee.21345
- M. Asna, H. Shareef, M. A. Muhammad, L. Ismail, and A. Prasanthi, A multi-objective quantum atom search optimization algorithm for electric vehicle charging station planning, Int. J. Energy Res. 16 (2022), no. 12, 17308-17331. https://doi.org/10.1002/er.8399