Thanks for sharing this interesting topic, Toby.
1. Stakeholders in Machine Learning for Symptom Prediction
Researchers and data scientists are important to develop machine learning models, while clinicians validate predictions and provide domain expertise. Patients and caregivers can contribute feedback, ensuring models align with individual needs. Regulatory bodies oversee ethical aspects, and industry provides infrastructure.
2. Ethical Considerations and Challenges
Addressing bias and ensuring fairness is crucial, as machine learning models can inherit biases from training data. Privacy safeguards are essential when handling sensitive health data. Transparency, informed consent, and clinical integration are also key ethical considerations.