Prognosis prediction for glioblastoma multiforme patients using machine learning approaches: Development of the clinically applicable model

Y Kim, KH Kim, J Park, HI Yoon, W Sung - Radiotherapy and Oncology, 2023 - Elsevier
Background and purpose We aimed to develop a clinically applicable prognosis prediction
model predicting overall survival (OS) and progression-free survival (PFS) for glioblastoma …
被引用次数：7 相关文章

Prognosis prediction for glioblastoma multiforme patients using machine learning approaches: Development of the clinically applicable model

Y Kim, KH Kim, J Park, HI Yoon… - Radiotherapy and …, 2023 - thegreenjournal.com
Background and purpose We aimed to develop a clinically applicable prognosis prediction
model predicting overall survival (OS) and progression-free survival (PFS) for glioblastoma …

Prognosis prediction for glioblastoma multiforme patients using machine learning approaches: Development of the clinically applicable model

Y Kim, KH Kim, J Park, HI Yoon… - … and oncology: journal …, 2023 - pubmed.ncbi.nlm.nih.gov
Background and purpose We aimed to develop a clinically applicable prognosis prediction
model predicting overall survival (OS) and progression-free survival (PFS) for glioblastoma …

Prognosis prediction for glioblastoma multiforme patients using machine learning approaches: Development of the clinically applicable model

Y Kim, KH Kim, J Park, HI Yoon… - Radiotherapy and …, 2023 - cuk.elsevierpure.com
Background and purpose: We aimed to develop a clinically applicable prognosis prediction
model predicting overall survival (OS) and progression-free survival (PFS) for glioblastoma …

Prognosis prediction for glioblastoma multiforme patients using machine learning approaches: development of the clinically applicable model.

Y Kim, J Park, I Yoon, W Sung - Radiotherapy and Oncology …, 2023 - europepmc.org
We aimed to develop a clinically applicable prognosis prediction model predicting overall
survival (OS) and progression-free survival (PFS) for glioblastoma multiforme (GBM) …

Prognosis prediction for glioblastoma multiforme patients using machine learning approaches: Development of the clinically applicable model

Y Kim, KH Kim, J Park, HI Yoon… - Radiotherapy and …, 2023 - thegreenjournal.com
Background and purpose We aimed to develop a clinically applicable prognosis prediction
model predicting overall survival (OS) and progression-free survival (PFS) for glioblastoma …