Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146459/1/mp12817.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146459/2/mp12817_am.pd
Big data are no longer an obstacle; now, by using artificial intelligence (AI), previously undiscove...
Fu Jin,1 Huan-Li Luo,1 Juan Zhou,2 Ya-Nan He,1 Xian-Feng Liu,1 Ming-Song Zhong,1 Han Yang,1 Chao Li,...
Although large volumes of information are entered into our electronic health care records, radiation...
The term Big Data has come to encompass a number of concepts and uses within medicine. This paper la...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146290/1/mp13136.pdfhttps://deepblue.l...
Data collected and generated by radiation oncology can be classified by the Volume, Variety, Velocit...
Machine learning (ML) applications in medicine represent an emerging field of research with the pote...
Radiotherapy is a treatment method using radiation for cancer treatment based on a patient treatment...
Healthcare is becoming more expensive, more complex and more personalised. Efficient and faster rese...
Big data are no longer an obstacle; now, by using artificial intelligence (AI), previously undiscove...
The prevalence of cancer is an increasing healthcare issue as it is the predominant cause of death w...
This thesis focuses on healthcare (Big) Data and the value of interpretable models for outcome predi...
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...
Fu Jin,1 Huan-Li Luo,1 Juan Zhou,2 Ya-Nan He,1 Xian-Feng Liu,1 Ming-Song Zhong,1 Han Yang,1 Chao Li,...
Although large volumes of information are entered into our electronic health care records, radiation...
The term Big Data has come to encompass a number of concepts and uses within medicine. This paper la...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146290/1/mp13136.pdfhttps://deepblue.l...
Data collected and generated by radiation oncology can be classified by the Volume, Variety, Velocit...
Machine learning (ML) applications in medicine represent an emerging field of research with the pote...
Radiotherapy is a treatment method using radiation for cancer treatment based on a patient treatment...
Healthcare is becoming more expensive, more complex and more personalised. Efficient and faster rese...
Big data are no longer an obstacle; now, by using artificial intelligence (AI), previously undiscove...
The prevalence of cancer is an increasing healthcare issue as it is the predominant cause of death w...
This thesis focuses on healthcare (Big) Data and the value of interpretable models for outcome predi...
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...
Fu Jin,1 Huan-Li Luo,1 Juan Zhou,2 Ya-Nan He,1 Xian-Feng Liu,1 Ming-Song Zhong,1 Han Yang,1 Chao Li,...
Although large volumes of information are entered into our electronic health care records, radiation...
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