Patient Care Essays (Examples)
Study Document
Depression In The Military
… loss of faith, or a loss of a sense of charity or love—i.e., the sense of or value in showing empathy, sympathy or care to other persons (Bonelli, Dew, Koenig, Rosmarin & Vasegh, 2012). Faith, hope and charity are also known as theological virtues, which means they ……
References
References
Bonde, J. P., Utzon-Frank, N., Bertelsen, M., Borritz, M., Eller, N. H., Nordentoft, M., ... & Rugulies, R. (2016). Risk of depressive disorder following disasters and military deployment: systematic review with meta-analysis. The British Journal of Psychiatry, 208(4), 330-336.
Bonelli, R., Dew, R. E., Koenig, H. G., Rosmarin, D. H., & Vasegh, S. (2012). Religious and spiritual factors in depression: review and integration of the research. Depression research and treatment, 2012.
Casey Jr, G. W. (2011). Comprehensive soldier fitness: A vision for psychological resilience in the US Army. American Psychologist, 66(1), 1.
Dolphin, K. E., Steinhardt, M. A., & Cance, J. D. (2015). The role of positive emotions in reducing depressive symptoms among Army wives. Military Psychology, 27(1), 22-35.
Griffith, J., & West, C. (2013). Master resilience training and its relationship to individual well-being and stress buffering among Army National Guard soldiers. The journal of behavioral health services & research, 40(2), 140-155.
Kang, H. K., Bullman, T. A., Smolenski, D. J., Skopp, N. A., Gahm, G. A., & Reger, M. A. (2015). Suicide risk among 1.3 million veterans who were on active duty during the Iraq and Afghanistan wars. Annals of epidemiology, 25(2), 96-100.
Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 50(4), 370.
Reivich, K. J., Seligman, M. E., & McBride, S. (2011). Master resilience training in the US Army. American Psychologist, 66(1), 25.
Study Document
Hurricane Maria And Puerto Rico S Emergency Management
… As de Arzola (2018) notes, “before Hurricane Maria, hospitals and their residency programs followed emergency preparedness protocols that included reducing the number of patient, ensuring adequacy of supplies, and formulating contingency plans for staff to cover hospital services during the storm” (p. 478). The hospitals were prepared … left up to individual agencies and organizations to prepare and act on their own plans, and so in individual spheres—such as in health care—there was some organization, but beyond that the response, internally, was hampered by disorganization at the upper levels of governance. For example, there was … they may be, than plan ahead, put aside political differences, and figure things out. Only those organizations like the ones in the health care community that were informed by a different culture showed any sense of preparedness.
As Samaan and Verneuil (2008) pointed out in their study ……
References
References
Acevedo, N. (2018). Puerto Rico lacked disaster planning, communications strategy, hurricane study found. Retrieved from https://www.nbcnews.com/storyline/puerto-rico-crisis/puerto-rico-lacked-disaster-planning-communications-strategy-hurricane-study-found-n904866
Achenbach, J. & Hernandez, A. (2017). FEMA administrator: Puerto Rico’s politics, lack of unity, hindering hurricane response. Retrieved from https://www.washingtonpost.com/national/fema-administrator-puerto-ricos-politics-lack-of-unity-hindering-hurricane-response/2017/10/09/f1711996-ad10-11e7-9e58-e6288544af98_story.html?noredirect=on&utm_term=.eef2e6bc0e3e
Amnesty International. (2018). Puerto Rico a year after Hurricane Maria. Retrieved from https://www.amnesty.org/en/latest/research/2018/09/puerto-rico-a-year-after-hurricane-maria/
Bomey, N. (2017). Hurricane Maria halts crucial drug manufacturing in Puerto Rico, may spur shortages. Retrieved from https://www.usatoday.com/story/money/2017/09/22/hurricane-maria-pharmaceutical-industry-puerto-rico/692752001/
CDC. (2019). PHEP. Retrieved from https://www.cdc.gov/cpr/epf/docs/PuertoRico.pdf de Arzola, O. R. (2018). Emergency Preparedness and Hurricane Maria: The Experience of a Regional Academic Medical Center in Southwest Puerto Rico. Journal of Graduate Medical Education,10(4), 477-480. Florido, A. (2018). Government Lawyer Says Puerto Rico's Hurricane Response Plan 'Does Not Exist'. Retrieved from https://www.npr.org/2018/10/30/662345336/government-lawyer-says-puerto-ricos-hurricane-response-plan-does-not-exist
McMahon, C. (2018). Double down on the Jones Act? Journal of Maritime Law & Commerce, 49(2), 153-195.
Samaan, J. L., & Verneuil, L. (2009). Civil–Military Relations in Hurricane Katrina: a case study on crisis management in natural disaster response. Humanitarian Assistance: Improving US-European Cooperation, Center for Transatlantic Relations/Johns Hopkins University, Baltimore, MD/Global Public Policy Institute, Berlin, 413-432.
Study Document
Privacy In Social Networks Regarding Machine Learning
...Patient care Abstract
This paper discusses the issue of privacy in social networks with respect to advances in machine learning. It shows how machine learning protocols have been developed both to enhance and secure privacy as well as to invade privacy and collect, analyze, predict data based on users’ information and experience online. The conflict between these two directions in machine learning is likely to lead to a system wherein machine learning algorithms are actively engaged in the subversion of one another, with one attempting to conceal data and the other attempting to uncover it. This paper concludes with recommendations for social networks and the issue of privacy regarding machine learning.
Introduction
Social networks have allowed an ocean of personal data to form that is now sitting there waiting for machine learning algorithms to collect it, analyze it, and recognize individuals on social media (Oh, Benenson, Fritz & Schiele, 2016). Machine learning……
References
References
Balle, B., Gascón, A., Ohrimenko, O., Raykova, M., Schoppmmann, P., & Troncoso, C. (2019, November). PPML\\\\\\\\\\\\'19: Privacy Preserving Machine Learning. In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security (pp. 2717-2718). ACM.
Bilogrevic, I., Huguenin, K., Agir, B., Jadliwala, M., Gazaki, M., & Hubaux, J. P. (2016). A machine-learning based approach to privacy-aware information-sharing in mobile social networks. Pervasive and Mobile Computing, 25, 125-142.
Bonawitz, K., Ivanov, V., Kreuter, B., Marcedone, A., McMahan, H. B., Patel, S., ... & Seth, K. (2017, October). Practical secure aggregation for privacy-preserving machine learning. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security (pp. 1175-1191). ACM.
Hunt, T., Song, C., Shokri, R., Shmatikov, V., & Witchel, E. (2018). Chiron: Privacy-preserving machine learning as a service. arXiv preprint arXiv:1803.05961.
Lindsey, N. (2019). New Research Study Shows That Social Media Privacy Might Not Be Possible. Retrieved from https://www.cpomagazine.com/data-privacy/new-research-study-shows-that-social-media-privacy-might-not-be-possible/
Mohassel, P., & Zhang, Y. (2017, May). Secureml: A system for scalable privacy-preserving machine learning. In 2017 IEEE Symposium on Security and Privacy (SP) (pp. 19-38). IEEE.
Mooney, S. J., & Pejaver, V. (2018). Big data in public health: terminology, machine learning, and privacy. Annual review of public health, 39, 95-112.
Oh, S. J., Benenson, R., Fritz, M., & Schiele, B. (2016, October). Faceless person recognition: Privacy implications in social media. In European Conference on Computer Vision (pp. 19-35). Springer, Cham.
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