Machine learning applied in patient-reported outcome research-exploring symptoms in adjuvant treatment of breast cancer.

Helle PappotBenóný P BjörnssonOswin KrauseChristina BækstedPernille E BidstrupSusanne O DaltonChristoffer JohansenAnn KnoopIvan VogeliusCecilie Holländer-Mieritz

Published in: Breast cancer (Tokyo, Japan) (2023)

In conclusion, this explorative data analysis using ML methodologies in an ePRO dataset from a population of women with breast cancer treated with adjuvant chemotherapy unravels that the symptoms aching joints and numbness/tingling could be important for drop out of planned adjuvant chemotherapy.

Keyphrases

patient reported outcomes
machine learning
big data
sleep quality
electronic health record
artificial intelligence
combination therapy
deep learning
depressive symptoms
newly diagnosed