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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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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. |
format | Online Article Text |
id | pubmed-5514231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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