A systematic review on acute leukemia detection using deep learning techniques

R Raina, NK Gondhi, Chaahat, D Singh, M Kaur… - … Methods in Engineering, 2023 - Springer
Acute leukemia is a cancer that starts in the bone marrow and is characterized by an
abnormal growth of white blood cells. It is a disease that affects people all over the world …

A review on leukemia detection and classification using Artificial Intelligence-based techniques

AE Aby, S Salaji, KK Anilkumar, T Rajan - Computers and Electrical …, 2024 - Elsevier
Leukemia is a type of cancer affecting blood-forming tissues, where timely diagnosis is
crucial for early intervention and better treatment outcomes. Traditional detection methods …

Prediction of in‐hospital hypokalemia using machine learning and first hospitalization day records in patients with traumatic brain injury

Z Zhou, C Huang, P Fu, H Huang… - CNS Neuroscience …, 2023 - Wiley Online Library
Aims Hypokalemia is a common complication following traumatic brain injury, which may
complicate treatment and lead to unfavorable outcomes. Identifying patients at risk of …

Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi‐Square Test …

IJ Ratul, UH Wani, MM Nishat… - … Methods in Medicine, 2022 - Wiley Online Library
Bone marrow transplant (BMT) is an effective surgical treatment for bone marrow‐related
disorders. However, several associated risk factors can impair long‐term survival after BMT …

[HTML][HTML] 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 …

[PDF][PDF] An Advanced Low-cost Blood Cancer Detection System.

C Ananth, K Mystica, M Sridharan… - International Journal of …, 2022 - academia.edu
Blood leukemia can be diagnosed with greater precision and specificity when red blood
cells are separated from young white blood cells. The only way to tell if someone has a …

Immunophenotypic clustering in paediatric acute myeloid leukaemia

H Liu, K Wu, W Hu, X Chen, Y Tang… - British Journal of …, 2024 - Wiley Online Library
Acute myeloid leukaemia (AML) is a highly heterogeneous disease, exhibiting diverse
subtypes according to the characteristics of tumour cells. The immunophenotype is one of …

Machine learning–based exploratory clinical decision support for newly diagnosed patients with acute myeloid leukemia treated with 7+ 3 type chemotherapy or …

N Islam, JS Reuben, J Dale, J Gutman… - JCO Clinical Cancer …, 2022 - ascopubs.org
PURPOSE There are currently limited objective criteria to help assist physicians in
determining whether an individual patient with acute myeloid leukemia (AML) is likely to do …

Acute myeloid leukemia: New multiomics molecular signatures and implications for systems medicine diagnostics and therapeutics innovation

N Kelesoglu, M Kori, B Turanli, KY Arga… - OMICS: A Journal of …, 2022 - liebertpub.com
Acute myeloid leukemia (AML) is a common, complex, and multifactorial malignancy of the
hematopoietic system. AML diagnosis and treatment outcomes display marked …

Identification of hub genes and potential molecular mechanisms related to drug sensitivity in acute myeloid leukemia based on machine learning

B Zhang, H Liu, F Wu, Y Ding, J Wu, L Lu… - Frontiers in …, 2024 - frontiersin.org
Background: Acute myeloid leukemia (AML) is the most common form of leukemia among
adults and is characterized by uncontrolled proliferation and clonal expansion of …