Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer.

Kulkarni C, Quraishi A, Raparthi M, Shabaz M, Khan MA, Varma RA, Keshta I, Soni M, Byeon H

DOI: 10.1186/s12911-024-02495-2
Published: 2024 Apr 5
Container: BMC medical informatics and decision making
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12911-024-02495-2,
  title = {Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer.},
  author = {Kulkarni C and Quraishi A and Raparthi M and Shabaz M and Khan MA and Varma RA and Keshta I and Soni M and Byeon H},
  year = {2024},
  journal = {BMC medical informatics and decision making},
  doi = {10.1186/s12911-024-02495-2},
  url = {https://doi.org/10.1186/s12911-024-02495-2}
}

RIS

TY  - JOUR
TI  - Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer.
AU  - Kulkarni C
AU  - Quraishi A
AU  - Raparthi M
AU  - Shabaz M
AU  - Khan MA
AU  - Varma RA
AU  - Keshta I
AU  - Soni M
AU  - Byeon H
PY  - 2024
JO  - BMC medical informatics and decision making
DO  - 10.1186/s12911-024-02495-2
UR  - https://doi.org/10.1186/s12911-024-02495-2
ER  -

APA

C, K., A, Q., M, R., M, S., MA, K., RA, V., I, K., M, S., & H, B. (2024). Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-024-02495-2

Source records

pubmed · retrieved 2026-09-25T17:16:32.284Z