The big data effort in radiation oncology: Data mining or data farming?
| Autor: | Carlos J. R. Anderson, James A. Hayman, Randall K. Ten Haken, Sue M. Merkel, Marc L. Kessler, Theodore S. Lawrence, Charles S. Mayo, Avraham Eisbruch, Mary Feng, Grant Weyburne, Lynn Holevinski, Shruti Jolly, Martha M. Matuszak, Jean M. Moran, Sherry L. Machnak, Issam El Naqa, Daniel L. McShan |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
lcsh:Medical physics. Medical radiology. Nuclear medicine
Conceptualization Standardization business.industry Process (engineering) lcsh:R895-920 Big data Critical Review computer.software_genre lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens lcsh:RC254-282 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Oncology 030220 oncology & carcinogenesis Health care Key (cryptography) Information system Medicine Radiology Nuclear Medicine and imaging Professional association Data mining business computer |
| Zdroj: | Advances in Radiation Oncology, Vol 1, Iss 4, Pp 260-271 (2016) Advances in Radiation Oncology |
| ISSN: | 2452-1094 |
| DOI: | 10.1016/j.adro.2016.10.001 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|