The Role of AI and Machine Learning in Full Stack Development for Healthcare Applications
DOI:
https://doi.org/10.60087/jklst.vol1.n1.p123Keywords:
Artificial Intelligence, Machine Learning, Full Stack Development, Healthcare ApplicationsAbstract
The integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques into full stack development has brought about significant advancements in healthcare applications. This paper explores the role of AI and ML in enhancing full stack development methodologies tailored specifically for healthcare. By leveraging AI and ML algorithms, developers can create intelligent systems capable of analyzing vast amounts of medical data, providing personalized treatment recommendations, automating administrative tasks, and improving overall patient care. This paper discusses key techniques, challenges, and opportunities associated with incorporating AI and ML into full stack development for healthcare applications, highlighting the transformative potential of these technologies in revolutionizing healthcare delivery.
Downloads
References
Williams, O.D. COVID-19 and Private Health: Market and Governance Failure. Development 2020, 63, 181–190. [CrossRef] [PubMed]
Tabriz, A.A.; Nouri, E.; Vu, H.T.; Nghiem, V.T.; Bettilyon, B.; Gholamhoseyni, P.; Kiapour, N. What should accountable care organizations learn from the failure of health maintenance organizations? A theory based systematic review of the literature. Soc. Determ. Health 2017, 3, 222–247. [CrossRef]
Rand Review. Chronic Conditions in America: Price and Prevalence. 2017. Available online: https://www.rand.org/blog/rand- review/2017/07/chronic-conditions-in-america-price-and-prevalence.html (accessed on 11 July 2021).
World Health Organization. Naming the Coronavirus Disease (COVID-19) and the Virus that Causes It. 2020. Available online: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidance/naming-the-coronavirus- disease-(COVID-2019)-and-the-virus-that-causes-it (accessed on 6 July 2021).
Siriwardhana, Y.; Gür, G.; Ylianttila, M.; Liyanage, M. The role of 5G for digital healthcare against COVID-19 pandemic: Opportu- nities and challenges. ICT Express 2020, 7, 244–252. [CrossRef]
Lee, S.M.; Lee, D. Opportunities and challenges for contactless healthcare services in the post-COVID-19 Era. Technol. Forecast. Soc. Chang. 2021, 167, 120712. [CrossRef]
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)

This work is licensed under a Creative Commons Attribution 4.0 International License.
©2024 All rights reserved by the respective authors and JKLST.



