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Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future.
Nižetić S, Šolić P, López-de-Ipiña González-de-Artaza D, Patrono L. Nižetić S, et al. J Clean Prod. 2020 Nov 20;274:122877. doi: 10.1016/j.jclepro.2020.122877. Epub 2020 Jul 19. J Clean Prod. 2020. PMID: 32834567 Free PMC article.
Significant research efforts are needed in the previous sense to carefully investigate the pros and cons of IoT technologies. This review editorial is partially directed on the research contributions presented at the 4th International Conference on Smart and Sustainable Te …
Significant research efforts are needed in the previous sense to carefully investigate the pros and cons of IoT technologies. This review …
Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models.
Jamthikar A, Gupta D, Saba L, Khanna NN, Araki T, Viskovic K, Mavrogeni S, Laird JR, Pareek G, Miner M, Sfikakis PP, Protogerou A, Viswanathan V, Sharma A, Nicolaides A, Kitas GD, Suri JS. Jamthikar A, et al. Cardiovasc Diagn Ther. 2020 Aug;10(4):919-938. doi: 10.21037/cdt.2020.01.07. Cardiovasc Diagn Ther. 2020. PMID: 32968651 Free PMC article.
Ultrasound-based stroke/cardiovascular risk stratification using Framingham Risk Score and ASCVD Risk Score based on "Integrated Vascular Age" instead of "Chronological Age": a multi-ethnic study of Asian Indian, Caucasian, and Japanese cohorts.
Jamthikar A, Gupta D, Cuadrado-Godia E, Puvvula A, Khanna NN, Saba L, Viskovic K, Mavrogeni S, Turk M, Laird JR, Pareek G, Miner M, Sfikakis PP, Protogerou A, Kitas GD, Shankar C, Nicolaides A, Viswanathan V, Sharma A, Suri JS. Jamthikar A, et al. Cardiovasc Diagn Ther. 2020 Aug;10(4):939-954. doi: 10.21037/cdt.2020.01.16. Cardiovasc Diagn Ther. 2020. PMID: 32968652 Free PMC article.