1. what stakeholders should be involved in applying machine learning in symptom prediction? what are their roles and responsibilities?
1.1 Researchers:
They should be able to identify the key predictors of cancer symptoms using machine-learning approaches and conduct rigorous validation of the developed machine-learning models before considering them for clinical practice.
1.2 Patients with cancer:
They can provide data and participate in studies that use machine learning to predict their symptoms. Moreover, they can give feedback on the usefulness and acceptability of the symptom prediction models developed using machine learning.
2. What potential ethical considerations or challenges should researchers and clinicians keep in mind when developing and deploying machine learning models to predict cancer symptoms?
I think ‘Machine learning’ is becoming a buzzword (at least in Thailand) and a black box at the same time. Clinicians and patients should understand how the models arrive at their predictions and be able to interpret and use them in clinical practice cautiously.