Published on in Vol 10, No 3 (2022): March
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/32313, first published
.

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- Afanaseva K, Bakin E, Smirnova A, Barkhatov I, Gindina T, Moiseev I, Bondarenko S. A pilot study of implication of machine learning for relapse prediction after allogeneic stem cell transplantation in adults with Ph-positive acute lymphoblastic leukemia. Scientific Reports 2023;13(1) View
- Qu Y, Shourabizadeh H, Subramanian A, Aleman D, Rousseau L, Law A, Viswabandya A, Michelis F. Differential impact of CD34+ cell dose for different age groups in allogeneic hematopoietic cell transplantation for acute leukemia: a machine learning–based discovery. Experimental Hematology 2025;141:104684 View
- Kim M, Kim Y, Kang H, Seo H, Choi H, Han J, Kee G, Ko S, Jung H, Kim B, Choi B, Jun T, Kim Y. Leveraging BERT for embedding ICD codes from large scale cardiovascular EMR data to understand patient diagnostic patterns. BMC Medical Informatics and Decision Making 2025;25(1) View
- Asteris P, Armaghani D, Gandomi A, Mohammed A, Bousiou Z, Batsis I, Spyridis N, Karavalakis G, Vardi A, Tsoukals M, Triantafyllidis L, Koutras E, Zygouris N, Drosopoulos G, Dritsas L, Fountas N, Vaxevanidis N, Bardhan A, Samui P, Hatzigeorgiou G, Zhou J, Leontari K, Evangelidis P, Kotsiou N, Sakellari I, Gavriilaki E. Survival Prediction in Allogeneic Haematopoietic Stem Cell Transplant Recipients Using Pre‐ and Post‐Transplant Factors and Computational Intelligence. Journal of Cellular and Molecular Medicine 2025;29(16) View
Books/Policy Documents
- Hanselia R, Choubey D. International Conference on Innovative Computing and Communications. View