Abdelaal, M. (2024). AI in Manufacturing: Market Analysis and Opportunities. arXiv preprint arXiv:2407.05426.
Ahamed, F., and Farid, F. (2018, December). Applying internet of things and machine-learning for personalized healthcare: Issues and challenges. In 2018 International Conference on Machine Learning and Data Engineering (iCMLDE) (pp. 19–21). IEEE.
Amato, F., et al. (2013). Artificial neural networks in medical diagnosis. Journal of Applied Biomedicine, 11(2), 47–58.
Antman, E. M., et al. (2017). Network Medicine: Complex Systems in Human Disease and Therapeutics. Harvard University Press.
Bangui, H., et al. (2018). Moving to the edge-cloud-of-things: Recent advances and future research directions. Electronics, 7(11), 309.
Barbosa, D. C., et al. (2012). Automatic small bowel tumor diagnosis by using multi-scale wavelet-based analysis in wireless capsule endoscopy images. Biomedical Engineering Online, 11, 1–17.
Barker, D. J. (2012). Human growth and chronic disease: A memorial to Jim Tanner. Annals of Human Biology, 39(5), 335–341.
Bhardwaj, V., Joshi, R., and Gaur, A. M. (2022). IoT-based smart health monitoring system for COVID-19. SN Computer Science, 3(2), 137.
Boric-Lubecke, O., et al. (2014, June). E-healthcare: Remote monitoring, privacy, and security. In 2014 IEEE MTT-S international microwave symposium (IMS2014) (pp. 1–3). IEEE.
Cohen, A. T., et al. (2008). Venous thromboembolism risk and prophylaxis in the acute hospital care setting (ENDORSE study): A multinational cross-sectional study. The Lancet, 371(9610), 387–394.
Dang, L. M., et al. (2019). A survey on internet of things and cloud computing for healthcare. Electronics, 8(7), 768.
Dayhoff, J. E., and DeLeo, J. M. (2001). Artificial neural networks: opening the black box. Cancer: Interdisciplinary International Journal of the American Cancer Society, 91(S8), 1615–1635.
Deshkar, S., Thanseeh, R. A., and Menon, V. G. (2017). A review on IoT based m-Health systems for diabetes. International Journal of Computer Science and Telecommunications, 8(1), 13–18.
Dev, S., et al. (2017, November). Automated classification of adverse events in pharmacovigilance. In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 905–909). IEEE.
Ejaz, W., et al. (2019). Internet of things for smart cities: overview and key challenges. Internet of Things for Smart Cities: Technologies, Big Data and Security, 1–15.
Elhaddad, Y. R., and Gannous, A. S. (2011). Improving an Artificial Neural Network Model to Predict Thyroid Bending Protein Diagnosis Using Preprocessing Techniques.
Ferdinand, A. S., et al. (2021). An implementation science approach to evaluating pathogen whole genome sequencing in public health. Genome Medicine, 13, 1–11.
Gandhi, D. A., and Ghosal, M. (2018, April). Intelligent healthcare using IoT: An extensive survey. In 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) (pp. 800–802). IEEE.
Grossman, D. C., Larson, E. B., and Sox, H. C. (2020). Integrating personalized medicine with population health management: The path forward. JAMA, 324(7), 631–632.
Gulshan, V., et al. (2016). Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA, 316(22), 2402–2410.
Hassanalieragh, M., et al. (2015, June). Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based processing: Opportunities and challenges. In 2015 IEEE International Conference on Services Computing (pp. 285–292). IEEE.
Hema, D. (2022). Smart healthcare IoT applications using AI. In Integrating AI in IoT Analytics on the Cloud for Healthcare Applications (pp. 238-257). IGI Global.
Husnain, A., et al. (2023). Revolutionizing pharmaceutical research: Harnessing machine learning for a paradigm shift in drug discovery. International Journal of Multidisciplinary Sciences and Arts, 2(4), 149-157.
Jacob, C., Sanchez-Vazquez, A., and Ivory, C. (2020). Social, organizational, and technological factors impacting clinicians’ adoption of mobile health tools: Systematic literature review. JMIR mHealth and uHealth, 8(2), e15935.
Kaur, N., Sahay, S., and Dixit, S. (2024). Role of Artificial Intelligence (AI)- aided Internet of Things (IoT) Technologies in Business and Production. In Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy (pp. 29–41). CRC Press.
Krishnan, D. S. R., Gupta, S. C., and Choudhury, T. (2018, June). An IoT-based patient health monitoring system. In 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) (pp. 01–07). IEEE.
Kulkarni, A., and Sathe, S. (2014). Healthcare applications of the Internet of Things: A Review. International Journal of Computer Science and Information Technologies, 5(5), 6229–6232.
Lakhani, A. (2023). AI revolutionizing cyber security unlocking the future of digital protection. DoI: https://osf. io/cvqx3.
Li, Y., Rauth, A. M., and Wu, X. Y. (2005). Prediction of kinetics of doxorubicin release from sulfopropyl dextran ion-exchange microspheres using artificial neural networks. European Journal of Pharmaceutical Sciences, 24(5), 401–410.
Moustafa, H., et al. (2016, October). Remote monitoring and medical devices control in eHealth. In 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (pp. 1–8). IEEE.
Nazir, S., et al. (2019). Internet of things for healthcare using effects of mobile computing: a systematic literature review. Wireless Communications and Mobile Computing, 2019(1), 5931315.
Oniani, S., et al. (2020). Artificial intelligence for internet of things and enhanced medical systems. In Bio-inspired Neurocomputing (pp. 43–59). Singapore: Springer Singapore.
Oryema, B., et al. (2017, January). Design and implementation of an interoperable messaging system for IoT healthcare services. In 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC) (pp. 45–52). IEEE.
Rayan, R. A., Tsagkaris, C., and Iryna, R. B. (2021). The Internet of things for healthcare: applications, selected cases and challenges. IoT in Healthcare and Ambient Assisted Living, 1–15.
Rehan, H. (2023). Internet of Things (IoT) in smart cities: Enhancing urban living through technology. Journal of Engineering and Technology, 5(1), 1–16.
Riaz, M. H., et al. (2017, June). Internet of things based wireless patient body area monitoring network. In 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (pp. 970–973). IEEE.
Rodriguez Galdon, B., et al. (2010). Cluster analysis and artificial neural networks multivariate classification of onion varieties. Journal of Agricultural and Food Chemistry, 58(21), 11435–11440.
Saarikko, T., Westergren, U. H., and Blomquist, T. (2017). The Internet of Things: Are you ready for what’s coming? Business Horizons, 60(5), 667–676.
Sanchez-Pinto, L. N., et al. (2020). Derivation and validation of novel phenotypes of multiple organ dysfunction syndrome in critically ill children. JAMA Network Open, 3(8), e209271–e209271.
Sengupta, P. P., et al. (2016). Cognitive machine-learning algorithm for cardiac imaging: a pilot study for differentiating constrictive pericarditis from restrictive cardiomyopathy. Circulation: Cardiovascular Imaging, 9(6), e004330.
Sepasgozar, S., et al. (2020). A systematic content review of artificial intelligence and the internet of things applications in smart home. Applied Sciences, 10(9), 3074.
Siebig, S., et al. (2009). Users’ opinions on intensive care unit alarms—A survey of German intensive care units. Anaesthesia and Intensive Care, 37(1), 112–116.
Sodhro, A. H., Pirbhulal, S., and De Albuquerque, V. H. C. (2019). Artificial intelligence-driven mechanism for edge computing-based industrial applications. IEEE Transactions on Industrial Informatics, 15(7), 4235–4243.
Sonune, S., et al. (2017, June). Issues in IoT healthcare platforms: A critical study and review. In 2017 International Conference on Intelligent Computing and Control (I2C2) (pp. 1–5). IEEE.
Soualmi, A., Alti, A., and Laouamer, L. (2021). Medical data protection using blind watermarking technique. Enabling AI Applications in Data Science, 557–576.
Tan, L., and Wang, N. (2010, August). Future internet: The internet of things. In 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE) (Vol. 5, pp. V5–376). IEEE.
Tuya Inc., and Gartner Group. (2021). 2021 Global AIoT developers ecosystem white paper. Presented at the Tech Show Developers Conference, December 29, 2020, Hangzhou, China.
Vasanth, K., and Sbert, J. (2014). Creating solutions for health through technology innovation. Texas Instruments, Dec.
Verikas, A., and Bacauskiene, M. (2002). Feature selection with neural networks. Pattern Recognition Letters, 23(11), 1323–1335.
Viswanathan, H., Lee, E. K., and Pompili, D. (2012, June). Mobile grid computing for data-and patient-centric ubiquitous healthcare. In 2012 The First IEEE Workshop on Enabling Technologies for Smartphone and Internet of Things (ETSIoT) (pp. 36–41). IEEE.
Yang, G., et al. (2014). A health-IoT platform based on the integration of intelligent packaging, unobtrusive bio-sensor, and intelligent medicine box. IEEE Transactions on Industrial Informatics, 10(4), 2180–2191.
Yang, L., et al. (2019). Clinical and genetic spectrum of a large cohort of children with epilepsy in China. Genetics in Medicine, 21(3), 564–571.
Zhou, W. H., and Xiao, T. T. (2021). Digital future of neonatal critical care medicine. Chin J Pediat (Chinese), 59(4), 261–263.
Zhou, Z., Yu, S., and Chen, X. (2019). Edge intelligence: A new nexus of edge computing and artificial intelligence. Big Data Res, 5(2), 53–63.