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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Detaylı Bibliyografya
Yayımlandı:Neurooncol Adv
Asıl Yazarlar: Alattar, Ali, Joshi, Rushikesh, HIrshman, Brian, Carroll, Kate, Nagano, Osamu, Aiyama, Hitoshi, Serizawa, Toru, Yamamoto, Masaaki, Chen, Clark
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2019
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Abstracts
Online Erişim: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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