Development and validation of a set of six adaptable prognosis prediction (SAP) models based on time-series real-world big data analysis for patients with cancer receiving chemotherapy: A multicenter case crossover study.

Development and validation of a set of six adaptable prognosis prediction (SAP) models based on time-series real-world big data analysis for patients with cancer receiving chemotherapy: A multicenter case crossover study.

We aimed to develop an adaptable prognosis prediction model that could be applied at any time point during the treatment course for patients with cancer receiving chemotherapy, by applying time-series real-world big data.Between April 2004 and September 2014, 4,997 patients with cancer who had recei...

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Bibliographic Details
Main Authors: Yu Uneno, Kei Taneishi, Masashi Kanai, Kazuya Okamoto, Yosuke Yamamoto, Akira Yoshioka, Shuji Hiramoto, Akira Nozaki, Yoshitaka Nishikawa, Daisuke Yamaguchi, Teruko Tomono, Masahiko Nakatsui, Mika Baba, Tatsuya Morita, Shigemi Matsumoto, Tomohiro Kuroda, Yasushi Okuno, Manabu Muto
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5570326?pdf=render

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