This paper is in the following e-collection/theme issue:

Cancer Prognosis Models and Machine Learning (69) Clinical Information and Decision Making (1939) Machine Learning (2102) Cancer Survivorship (339) Chemotherapy and Side Effects Management (114)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54740, first published .
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

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

Authors of this article:

Nazmul Islam1 Author Orcid Image ;   Jamie S Reuben1 Author Orcid Image ;   Justin Dale1 Author Orcid Image ;   James W Coates1 Author Orcid Image ;   Karan Sapiah1 Author Orcid Image ;   Frank R Markson1 Author Orcid Image ;   Craig T Jordan2 Author Orcid Image ;   Clay Smith3 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

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  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

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