Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi-Square Test and Hyperparameter Optimization: A Retrospective Analysis

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. Machine learning (ML) technologies have been proven useful in survival prediction of BMT receivers along with the influ...

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Detalles Bibliográficos
Autores principales: Ratul, Ishrak Jahan, Wani, Ummay Habiba, Nishat, Mirza Muntasir, Al-Monsur, Abdullah, Ar-Rafi, Abrar Mohammad, Faisal, Fahim, Kabir, Mohammad Ridwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527434/
https://www.ncbi.nlm.nih.gov/pubmed/36199778
http://dx.doi.org/10.1155/2022/9391136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527434/
https://www.ncbi.nlm.nih.gov/pubmed/36199778
http://dx.doi.org/10.1155/2022/9391136

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