RADI-22. CHARACTERIZING CLINICAL SURVIVAL PATTERNS USING MACHINE LEARNING: AN ANALYSIS OF BRAIN METASTASIS PATIENTS TREATED WITH STEREOTACTIC RADIOSURGERY

INTRODUCTION: Increased sophistication in machine-learning algorithms and artificial intelligence have begun to unveil patterns that would be otherwise unappreciated in clinical medicine. Here we applied one such algorithm, Iterative Factorial Analysis of Mixed Data (IFAMD), to better understanding...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Neurooncol Adv
Prif Awduron: Alattar, Ali, Joshi, Rushikesh, HIrshman, Brian, Carroll, Kate, Nagano, Osamu, Aiyama, Hitoshi, Serizawa, Toru, Yamamoto, Masaaki, Chen, Clark
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: Oxford University Press 2019
Pynciau:
Abstracts
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC7213108/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/noajnl/vdz014.114
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