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Autor:
Nakatsugawa, Minoru, Cheng, Zhi, Kiess, Ana, Choflet, Amanda, Bowers, Michael, Utsunomiya, Kazuki, Sugiyama, Shinya, Wong, John, Quon, Harry, McNutt, Todd
Publikováno v:
In International Journal of Radiation Oncology, Biology, Physics 1 February 2019 103(2):460-467
Autor:
Aoki, Kazuya, En'yo, Hideto, Gunji, Taku, Hamagaki, Hideki, Kanaya, Junpei, Komatsu, Yusuke, Masumoto, Shinichi, Ozawa, Kyoichiro, Sato, Tsutomu, Sekimoto, Michiko, Tsuji, Tomoya, Utsunomiya, Kazuki, Watanabe, Yosuke, Yokkaichi, Satoshi
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A 2011 628(1):300-303
Autor:
Ana P. Kiess, Zhi Cheng, Kousuke Sakaue, Utsunomiya Kazuki, Laura Burns, M.R. Bowers, Todd McNutt, Scott P. Robertson, Harry Quon, Chen Hu, Xuan Hui, Brandi R. Page, Shinya Sugiyama, John Wong, Joseph Moore, Minoru Nakatsugawa, M. Muse, A. Choflet
Publikováno v:
Advances in Radiation Oncology, Vol 3, Iss 3, Pp 346-355 (2018)
Advances in Radiation Oncology
Advances in Radiation Oncology
Objective We explore whether a knowledge–discovery approach building a Classification and Regression Tree (CART) prediction model for weight loss (WL) in head and neck cancer (HNC) patients treated with radiation therapy (RT) is feasible. Methods a
Autor:
Xian Chong Zhou, Zhi Cheng, Shinya Sugiyama, John Wong, John Wayne Haller, Utsunomiya Kazuki, Wei Fu, Chen Hu, Sara R. Alcorn, Todd McNutt, Ana P. Kiess, Harry Quon, Junghoon Lee, Brandi R. Page, Stephen Greco, Minoru Nakatsugawa
Publikováno v:
JCO clinical cancer informatics. 3
PURPOSE To evaluate the utility of a clinical decision support system (CDSS) using a weight loss prediction model. METHODS A prediction model for significant weight loss (loss of greater than or equal to 7.5% of body mass at 3-month post radiotherapy
Autor:
Ana P. Kiess, Shinya Sugiyama, John Wong, Todd McNutt, Zhi Cheng, Utsunomiya Kazuki, Minoru Nakatsugawa, A. Choflet, Harry Quon, M.R. Bowers
Publikováno v:
International journal of radiation oncology, biology, physics. 103(2)
PURPOSE Clinical data collection and development of outcome prediction models by machine learning can form the foundation for a learning health system offering precision radiation therapy. However, changes in clinical practice over time can affect th
Autor:
Harry Quon, Xuan Hui, M.R. Bowers, Minoru Nakatsugawa, Shinya Sugiyama, John Wong, Zhi Cheng, A. Choflet, Todd McNutt, Utsunomiya Kazuki, Ana P. Kiess
Publikováno v:
International Journal of Radiation Oncology*Biology*Physics. 99:E647-E648
Autor:
Cheng, Zhi, Nakatsugawa, Minoru, Zhou, Xian Chong, Hu, Chen, Greco, Stephen, Kiess, Ana, Page, Brandi, Alcorn, Sara, Haller, John, Utsunomiya, Kazuki, Sugiyama, Shinya, Fu, Wei, Wong, John, Lee, Junghoon, McNutt, Todd, Quon, Harry
Publikováno v:
JCO Clinical Cancer Informatics; 3/12/2019, Vol. 3, p1-11, 11p
Autor:
Cheng Z; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland., Nakatsugawa M; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland.; Toshiba America Research, Inc., Baltimore, Maryland., Hu C; Oncology Center-Biostatistics/Bioinformatics, Johns Hopkins University, Baltimore, Maryland., Robertson SP; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland., Hui X; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland., Moore JA; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland., Bowers MR; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland., Kiess AP; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland., Page BR; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland., Burns L; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland., Muse M; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland., Choflet A; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland., Sakaue K; Canon Medical Systems Corporation, Otawara, Japan., Sugiyama S; Canon Medical Systems Corporation, Otawara, Japan., Utsunomiya K; Canon Medical Systems Corporation, Otawara, Japan., Wong JW; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland., McNutt TR; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland., Quon H; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland.
Publikováno v:
Advances in radiation oncology [Adv Radiat Oncol] 2017 Dec 07; Vol. 3 (3), pp. 346-355. Date of Electronic Publication: 2017 Dec 07 (Print Publication: 2018).