Leveraging machine learning algorithms to assess the impact of cervical cancer early detection on patients’ survival

Piero Mazimpaka Irakiza, Absolomon Gashaija, Semakula Muhammed, Felix K. Rubuga, Jean Damascene Hagenimana, Emmanuel Christian Nyabyenda, Belson Rugwizangoga

Open source

DOI: 10.3389/fonc.2026.1880629
Published: 2026-09-01
Container: Frontiers in Oncology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fonc.2026.1880629,
  title = {Leveraging machine learning algorithms to assess the impact of cervical cancer early detection on patients’ survival},
  author = {Piero Mazimpaka Irakiza and Absolomon Gashaija and Semakula Muhammed and Felix K. Rubuga and Jean Damascene Hagenimana and Emmanuel Christian Nyabyenda and Belson Rugwizangoga},
  year = {2026},
  journal = {Frontiers in Oncology},
  doi = {10.3389/fonc.2026.1880629},
  url = {https://doi.org/10.3389/fonc.2026.1880629}
}

RIS

TY  - JOUR
TI  - Leveraging machine learning algorithms to assess the impact of cervical cancer early detection on patients’ survival
AU  - Piero Mazimpaka Irakiza
AU  - Absolomon Gashaija
AU  - Semakula Muhammed
AU  - Felix K. Rubuga
AU  - Jean Damascene Hagenimana
AU  - Emmanuel Christian Nyabyenda
AU  - Belson Rugwizangoga
PY  - 2026
JO  - Frontiers in Oncology
DO  - 10.3389/fonc.2026.1880629
UR  - https://doi.org/10.3389/fonc.2026.1880629
ER  -

APA

Irakiza, P. M., Gashaija, A., Muhammed, S., Rubuga, F. K., Hagenimana, J. D., Nyabyenda, E. C., & Rugwizangoga, B. (2026). Leveraging machine learning algorithms to assess the impact of cervical cancer early detection on patients’ survival. Frontiers in Oncology. https://doi.org/10.3389/fonc.2026.1880629

Source records

crossref · retrieved 2026-09-25T05:06:33.619Z