Data Dimension Reduction makes ML Algorithms efficient

Khan, Wisal; Turab, Muhammad; Waqas, Ahmad; Hasnat, Ahmad, Syed; Kumar, Kanwal; Luo, Bin

doi:10.1109/icetecc56662.2022.10069527

Cited by 4 publications

(1 citation statement)

References 34 publications

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“…By merging virtual and physical assets within cyberspace, the metaverse empowers individuals to embody themselves through avatars [39]. Moreover, the integration of techniques and technologies, such as AI [40,41], machine learning (ML) [42][43][44][45][46], deep learning (DL) [47], DTs, IoT [48,49], edge computing [50,51], and cloud computing [52], further augments this transformative technology [53,54].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse

Turab

Jamil

2023

BioMedInformatics

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Digital twins (DTs) are becoming increasingly popular in various industries, and their potential for healthcare in the metaverse continues to attract attention. The metaverse is a virtual world where individuals interact with digital replicas of themselves and the environment. This paper focuses on personalized and precise medicine and examines the current application of DTs in healthcare within the metaverse. Healthcare practitioners may use immersive virtual worlds to replicate medical scenarios, improve teaching experiences, and provide personalized care to patients. However, the integration of DTs in the metaverse poses technical, regulatory, and ethical challenges that need to be addressed, including data privacy, standards, and accessibility. Through this examination, we aim to provide insights into the transformative potential of DTs in healthcare within the metaverse and encourage further research and development in this exciting domain.

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