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The big data effort in radiation oncology: Data mining or data farming?

Although large volumes of information are entered into our electronic health care records, radiation oncology information systems and treatment planning systems on a daily basis, the goal of extracting and using this big data has been slow to emerge. Development of strategies to meet this goal is ai...

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Autores principales: Mayo, Charles S., Kessler, Marc L., Eisbruch, Avraham, Weyburne, Grant, Feng, Mary, Hayman, James A., Jolly, Shruti, El Naqa, Issam, Moran, Jean M., Matuszak, Martha M., Anderson, Carlos J., Holevinski, Lynn P., McShan, Daniel L., Merkel, Sue M., Machnak, Sherry L., Lawrence, Theodore S., Ten Haken, Randall K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514231/
https://www.ncbi.nlm.nih.gov/pubmed/28740896
http://dx.doi.org/10.1016/j.adro.2016.10.001
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author Mayo, Charles S.
Kessler, Marc L.
Eisbruch, Avraham
Weyburne, Grant
Feng, Mary
Hayman, James A.
Jolly, Shruti
El Naqa, Issam
Moran, Jean M.
Matuszak, Martha M.
Anderson, Carlos J.
Holevinski, Lynn P.
McShan, Daniel L.
Merkel, Sue M.
Machnak, Sherry L.
Lawrence, Theodore S.
Ten Haken, Randall K.
author_facet Mayo, Charles S.
Kessler, Marc L.
Eisbruch, Avraham
Weyburne, Grant
Feng, Mary
Hayman, James A.
Jolly, Shruti
El Naqa, Issam
Moran, Jean M.
Matuszak, Martha M.
Anderson, Carlos J.
Holevinski, Lynn P.
McShan, Daniel L.
Merkel, Sue M.
Machnak, Sherry L.
Lawrence, Theodore S.
Ten Haken, Randall K.
author_sort Mayo, Charles S.
collection PubMed
description Although large volumes of information are entered into our electronic health care records, radiation oncology information systems and treatment planning systems on a daily basis, the goal of extracting and using this big data has been slow to emerge. Development of strategies to meet this goal is aided by examining issues with a data farming instead of a data mining conceptualization. Using this model, a vision of key data elements, clinical process changes, technology issues and solutions, and role for professional societies is presented. With a better view of technology, process and standardization factors, definition and prioritization of efforts can be more effectively directed.
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spelling pubmed-55142312017-07-24 The big data effort in radiation oncology: Data mining or data farming? Mayo, Charles S. Kessler, Marc L. Eisbruch, Avraham Weyburne, Grant Feng, Mary Hayman, James A. Jolly, Shruti El Naqa, Issam Moran, Jean M. Matuszak, Martha M. Anderson, Carlos J. Holevinski, Lynn P. McShan, Daniel L. Merkel, Sue M. Machnak, Sherry L. Lawrence, Theodore S. Ten Haken, Randall K. Adv Radiat Oncol Critical Review Although large volumes of information are entered into our electronic health care records, radiation oncology information systems and treatment planning systems on a daily basis, the goal of extracting and using this big data has been slow to emerge. Development of strategies to meet this goal is aided by examining issues with a data farming instead of a data mining conceptualization. Using this model, a vision of key data elements, clinical process changes, technology issues and solutions, and role for professional societies is presented. With a better view of technology, process and standardization factors, definition and prioritization of efforts can be more effectively directed. Elsevier 2016-10-13 /pmc/articles/PMC5514231/ /pubmed/28740896 http://dx.doi.org/10.1016/j.adro.2016.10.001 Text en © 2016 The Authors on behalf of the American Society for Radiation Oncology http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Critical Review
Mayo, Charles S.
Kessler, Marc L.
Eisbruch, Avraham
Weyburne, Grant
Feng, Mary
Hayman, James A.
Jolly, Shruti
El Naqa, Issam
Moran, Jean M.
Matuszak, Martha M.
Anderson, Carlos J.
Holevinski, Lynn P.
McShan, Daniel L.
Merkel, Sue M.
Machnak, Sherry L.
Lawrence, Theodore S.
Ten Haken, Randall K.
The big data effort in radiation oncology: Data mining or data farming?
title The big data effort in radiation oncology: Data mining or data farming?
title_full The big data effort in radiation oncology: Data mining or data farming?
title_fullStr The big data effort in radiation oncology: Data mining or data farming?
title_full_unstemmed The big data effort in radiation oncology: Data mining or data farming?
title_short The big data effort in radiation oncology: Data mining or data farming?
title_sort big data effort in radiation oncology: data mining or data farming?
topic Critical Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514231/
https://www.ncbi.nlm.nih.gov/pubmed/28740896
http://dx.doi.org/10.1016/j.adro.2016.10.001
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