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
Big data and comparative effectiveness research methodologies can be applied within the framework of...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146290/1/mp13136.pdfhttps://deepblue.l...
Despite many perceived advances in treatment over the past few decades, cancer continues to present ...
Data collected and generated by radiation oncology can be classified by the Volume, Variety, Velocit...
The term Big Data has come to encompass a number of concepts and uses within medicine. This paper la...
Healthcare is becoming more expensive, more complex and more personalised. Efficient and faster rese...
Radiation oncology is uniquely positioned to harness the power of big data as vast amounts of data a...
Big data are no longer an obstacle; now, by using artificial intelligence (AI), previously undiscove...
Big data are no longer an obstacle; now, by using artificial intelligence (AI), previously undiscove...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146459/1/mp12817.pdfhttps://deepblue.l...
Disconnected cancer research data management and lack of information exchange about planned and ongo...
Big data and comparative effectiveness research methodologies can be applied within the framework of...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146290/1/mp13136.pdfhttps://deepblue.l...
Despite many perceived advances in treatment over the past few decades, cancer continues to present ...
Data collected and generated by radiation oncology can be classified by the Volume, Variety, Velocit...
The term Big Data has come to encompass a number of concepts and uses within medicine. This paper la...
Healthcare is becoming more expensive, more complex and more personalised. Efficient and faster rese...
Radiation oncology is uniquely positioned to harness the power of big data as vast amounts of data a...
Big data are no longer an obstacle; now, by using artificial intelligence (AI), previously undiscove...
Big data are no longer an obstacle; now, by using artificial intelligence (AI), previously undiscove...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146459/1/mp12817.pdfhttps://deepblue.l...
Disconnected cancer research data management and lack of information exchange about planned and ongo...
Big data and comparative effectiveness research methodologies can be applied within the framework of...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146290/1/mp13136.pdfhttps://deepblue.l...
Despite many perceived advances in treatment over the past few decades, cancer continues to present ...