Please read this section from the point of view of an audience less familiar with ML. Jot down any questions that occur to you while reading this section.
In referencing the systematic review on application of ML in RD, remove the references to specific approaches (e.g., SVM) and just stick to the number of studies and diseases
Define machine learning and move descriptions of unsupervised and supervised machine learning from the "definitions" section to the intro and integrate them in the following ways:
Use a specific example (or two) of supervised machine learning applications in this context. Tie this into gold and silver standard discussion. Can also use a specific example here that's about precision medicine in common diseases if we'd like.
Likewise, what's a specific example of how one would use unsupervised machine learning in this context? That should come right after the definition of unsupervised machine learning.
When we talk about bad things ™️ that can happen like unstable performance - what would that look like in someone's hands (e.g., in practice)? Why is that bad?
Please read this section from the point of view of an audience less familiar with ML. Jot down any questions that occur to you while reading this section.