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

BACKGROUND: 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. METHODS: Between April 2004 and September 2014, 4,997 patients wit...

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Udgivet i:PLoS One
Main Authors: Uneno, Yu, Taneishi, Kei, Kanai, Masashi, Okamoto, Kazuya, Yamamoto, Yosuke, Yoshioka, Akira, Hiramoto, Shuji, Nozaki, Akira, Nishikawa, Yoshitaka, Yamaguchi, Daisuke, Tomono, Teruko, Nakatsui, Masahiko, Baba, Mika, Morita, Tatsuya, Matsumoto, Shigemi, Kuroda, Tomohiro, Okuno, Yasushi, Muto, Manabu
Format: Artigo
Sprog:Inglês
Udgivet: Public Library of Science 2017
Fag:
Research Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5570326/
https://ncbi.nlm.nih.gov/pubmed/28837592
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0183291
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