Paper VII- Machine learning in Oncology: Update for clinicians

This is another interesting paper suggested by another follower- with whom I have the privilege of regular interaction.

The tweet appears here:

The paper can be downloaded from here.

I am embedding it here too. The usual disclaimers apply. Only the word summary can be downloaded. The purpose of the blog is educational and I don’t have any commercial interest in either distribution of the content or it’s display (I don’t earn any revenue from the blog).

[embeddoc url=”https://radoncnotescom.files.wordpress.com/2022/01/dafd6-cci.20.00049.pdf” download=”none” viewer=”google”]

The word summary appears below.

Knowledge Generated We describe topics in machine learning that are relevant to emerging applications for clinical oncology, as well as emerging challenges and considerations for its integration into clinical practice

[embeddoc url=”https://radoncnotescom.files.wordpress.com/2022/01/dccf8-machine_learning_in_oncology_what_should_clinicians_know_.docx” download=”all” viewer=”microsoft”]

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