Watson, Matthew;
Chambers, Pinkie;
Steventon, Luke;
Harmsworth King, James;
Ercia, Angelo;
Shaw, Heather;
Al Moubayed, Noura;
(2024)
From prediction to practice: mitigating bias and data shift in machine learning models for chemotherapy-induced organ dysfunction across unseen cancers.
BMJ Oncology
(In press).
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| Type: | Article |
|---|---|
| Title: | From prediction to practice: mitigating bias and data shift in machine learning models for chemotherapy-induced organ dysfunction across unseen cancers |
| Publisher version: | https://bmjoncology.bmj.com/ |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy > Practice and Policy |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10198411 |
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