Cite This Article

Reinforcement Learning with Causal Inference for Personalized Treatment Recommendation in Oncology
Prof. Mei-Ling Zhou; Dr. Kwesi Mensah; Dr. Beatriz Silva de Almeida — Journal of Ongoing Artificial Intelligence Innovations (2026)
Back to Article
APA APA 7th
Zhou, M.-L., Mensah, K., & de Almeida, B. S. (2026). Reinforcement Learning with Causal Inference for Personalized Treatment Recommendation in Oncology. Journal of Ongoing Artificial Intelligence Innovations, 1(1), 54-59.
MLA MLA 9th
Zhou, Mei-Ling, et al. "Reinforcement Learning with Causal Inference for Personalized Treatment Recommendation in Oncology." Journal of Ongoing Artificial Intelligence Innovations, vol. 1, no. 1, 2026, pp. 54-59.
CHI Chicago
Zhou, Mei-Ling, Kwesi Mensah, and Beatriz Silva de Almeida. "Reinforcement Learning with Causal Inference for Personalized Treatment Recommendation in Oncology." Journal of Ongoing Artificial Intelligence Innovations 1, no. 1 (2026): 54-59.
HAR Harvard
Zhou, M.-L., Mensah, K. & de Almeida, B. S. (2026) 'Reinforcement Learning with Causal Inference for Personalized Treatment Recommendation in Oncology', Journal of Ongoing Artificial Intelligence Innovations, 1(1), pp. 54-59.
IEEE IEEE
M.-L. Zhou, K. Mensah, and B. S. de Almeida, "Reinforcement Learning with Causal Inference for Personalized Treatment Recommendation in Oncology," Journal of Ongoing Artificial Intelligence Innovations, vol. 1, no. 1, pp. 54-59, 2026.
VAN Vancouver
Zhou M-L, Mensah K, de Almeida BS. Reinforcement Learning with Causal Inference for Personalized Treatment Recommendation in Oncology. Journal of Ongoing Artificial Intelligence Innovations. 2026;1(1):54-59.
BIB BibTeX
@article{zhou2026,
  title     = {Reinforcement Learning with Causal Inference for Personalized Treatment Recommendation in Oncology},
  author    = {Zhou, Mei-Ling and Mensah, Kwesi and de Almeida, Beatriz Silva},
  journal   = {Journal of Ongoing Artificial Intelligence Innovations},
  volume    = {1},
  number    = {1},
  pages     = {54-59},
  year      = {2026},
}