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Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54740, first published .
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Predictive Models for Long Term Survival of AML Patients Treated with Venetoclax and Azacitidine or 7+3 Based on Post Treatment Events and Responses: Retrospective Cohort Study

Predictive Models for Long Term Survival of AML Patients Treated with Venetoclax and Azacitidine or 7+3 Based on Post Treatment Events and Responses: Retrospective Cohort Study

Journals

  1. Ansarian M, Fatahichegeni M, Xu R, Chen Y, Wang X, Ren J, Liu H. Emerging Artificial Intelligence Technologies for Risk Assessment and Management in Acute Myeloid Leukemia. JAMA Oncology 2025;11(12):1518 View
  2. Mousavi R, Mustafa Ali M, Lobo D. Predicting the Regulatory Dynamics of AML Disease Progression from Longitudinal Multi-Modal Clinical Data. Journal of Medical Systems 2025;49(1) View
  3. Zbysinski T, Wu L, Dale J, Coates J, Sapiah K, Reuben J, Markson F, Kulkarni U, Islam N. A comparative analysis in a clinical cohort: multiple imputation by chained equations and a novel super learner-based imputation approach. BMC Medical Research Methodology 2026;26(1) View
  4. Alaoui Y, Padmanabhan R, Qaraqe M, Elomri A, Omri H, Taha R, Crovella S, Kerbache L, EL Omri A. AI-Based Computational Model Integrating Routinely Acquired Blood Parameters for Triage and Early Detection of Acute Myeloid Leukemia. Biomedical Engineering and Computational Biology 2026;17 View

Conference Proceedings

  1. Saydulloyeva S, Mardanov E, Hayitova M. 2025 International Russian Automation Conference (RusAutoCon). Evaluation of Machine Learning Algorithm Performance for Medical Diagnosis Tasks View