Machine Learning Predicts 30-Day Outcome among Acute Myeloid Leukemia Patients: A Single-Center, Retrospective, Cohort Study

Acute myeloid leukemia (AML) is a clinical emergency requiring treatment and results in high 30-day (D30) mortality. In this study, the prediction of D30 survival was studied using a machine learning (ML) method. The total cohort consisted of 1700 survivors and 130 non-survivors at D30. Eight clinic...

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Detalles Bibliográficos
Autores principales: Lee, Howon, Han, Jay Ho, Kim, Jae Kwon, Yoo, Jaeeun, Yoon, Jae-Ho, Cho, Byung Sik, Kim, Hee-Je, Lim, Jihyang, Jekarl, Dong Wook, Kim, Yonggoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531920/
https://www.ncbi.nlm.nih.gov/pubmed/37762881
http://dx.doi.org/10.3390/jcm12185940

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531920/
https://www.ncbi.nlm.nih.gov/pubmed/37762881
http://dx.doi.org/10.3390/jcm12185940

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