Machine learning for risk prediction of infectious diseases: a scoping review of application, predictive performance, and reporting gaps

Lala Foresta Valentine Gunasari, Ting-Wu Chuang, Bayu Satria Wiratama, Annisa Ristya Rahmanti, Dian Nurmansyah, Tri Baskoro Tunggul Satoto

Open source

DOI
10.1016/j.ijmedinf.2026.106720
Published
2027-01
Container
International Journal of Medical Informatics
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.ijmedinf.2026.106720,
  title = {Machine learning for risk prediction of infectious diseases: a scoping review of application, predictive performance, and reporting gaps},
  author = {Lala Foresta Valentine Gunasari and Ting-Wu Chuang and Bayu Satria Wiratama and Annisa Ristya Rahmanti and Dian Nurmansyah and Tri Baskoro Tunggul Satoto},
  year = {2027},
  journal = {International Journal of Medical Informatics},
  doi = {10.1016/j.ijmedinf.2026.106720},
  url = {https://doi.org/10.1016/j.ijmedinf.2026.106720}
}

RIS

TY  - JOUR
TI  - Machine learning for risk prediction of infectious diseases: a scoping review of application, predictive performance, and reporting gaps
AU  - Lala Foresta Valentine Gunasari
AU  - Ting-Wu Chuang
AU  - Bayu Satria Wiratama
AU  - Annisa Ristya Rahmanti
AU  - Dian Nurmansyah
AU  - Tri Baskoro Tunggul Satoto
PY  - 2027
JO  - International Journal of Medical Informatics
DO  - 10.1016/j.ijmedinf.2026.106720
UR  - https://doi.org/10.1016/j.ijmedinf.2026.106720
ER  - 

APA

Gunasari, L. F. V., Chuang, T., Wiratama, B. S., Rahmanti, A. R., Nurmansyah, D., & Satoto, T. B. T. (2027). Machine learning for risk prediction of infectious diseases: a scoping review of application, predictive performance, and reporting gaps. International Journal of Medical Informatics. https://doi.org/10.1016/j.ijmedinf.2026.106720

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