Machine Learning for Smart Healthcare Management Using IoT

Yagmur Yigit, Kubra Duran, Naghmeh Moradpoor, Leandros Maglaras*, Nguyen Van Huynh, Berk Canberk

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümBölümbilirkişi

1 Atıf (Scopus)

Özet

This chapter explores the significant impact of Machine Learning (ML) and the Internet of Things (IoT) on smart healthcare management, marking a new era of innovation with enhanced patient care and health outcomes. The fusion of IoT devices for real-time health monitoring with ML algorithms enables personalized medical interventions by analyzing vast amounts of patient data for predictive diagnostics and tailored treatment plans. Furthermore, the integration includes digital twin technology for precise diagnoses and treatments and highlights blockchain’s role in safeguarding data integrity and privacy. Additionally, the chapter examines the broader applications of Artificial Intelligence (AI) in healthcare, such as advanced ML models and natural language processing, to improve healthcare processes and medical analysis. Despite the promising potential of ML and IoT in transforming healthcare, challenges like data security and the development of scalable, interoperable solutions remain. The chapter underscores the crucial influence of ML and IoT in advancing efficient, accessible, and sophisticated healthcare services.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıStudies in Computational Intelligence
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar135-166
Sayfa sayısı32
DOI'lar
Yayın durumuYayınlandı - 2024

Yayın serisi

AdıStudies in Computational Intelligence
Hacim1169
ISSN (Basılı)1860-949X
ISSN (Elektronik)1860-9503

Bibliyografik not

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

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