Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia

M Shanbehzadeh, MR Afrash, N Mirani… - BMC Medical Informatics …, 2022 - Springer
Introduction Chronic myeloid leukemia (CML) is a myeloproliferative disorder resulting from
the translocation of chromosomes 19 and 22. CML includes 15–20% of all cases of …

A Learning Model for Acute Myeloid Leukemia Prediction Using Dense Polynomial Dimensionality-Based Predictor.

K Venkatesh, S Pasupathy… - Fusion: Practice & …, 2023 - search.ebscohost.com
Abstract Analysis of microarray data is extremely complex and considered as a hot topic in
recent research. Acute Myeloid Leukemia (AML) prediction based on machine learning …

Cancer cells population control in a delayed-model of a leukemic patient using the combination of the eligibility traces algorithm and neural networks

E Kalhor, A Noori, G Noori - … Journal of Machine Learning and Cybernetics, 2021 - Springer
The main purpose of this paper is to provide a solution, through which one can efficiently
reduce the population of cancer cells by injecting the lowest dose of the drug; therefore …

Review paper on Artificial intelligence assisted diagnosis for blood cancer using machine learning.

J Joseph, S PC, V Sherimon - Mapana Journal of Sciences, 2024 - search.ebscohost.com
This Paper guides a review platform which allows to evaluate Artificial intelligence assisted
diagnosis for blood cancer using machine learning. Advanced medical and technology …

[引用][C] Development of a Clinical Predictive Model for Stratification of Cancerous Diseases: A Case Study of Chronic Myeloid Leukemia

OO Olaniyan - 2020 - International Journal of Advanced …