I want to apply some new approaches in the case of sleep apnea. It would be good to get a little suggestion, what kind of technique of ML or DL would be suitable for this disease?
I wish your question would be more comprehensive. What kind of task/goal are you trying to achieve? What kind of data (structured/ unstructured or cross sectional/ longitudinal) do you have/ plan to collect? I am not familiar with the condition itself, but these two questions would be where I begin my thought process.
@Htun Teza, thank you for your positive response. I am trying to work with demographic characteristics (clinical variable), my goal is to utilise the medical data (MARS) and predict whether a person infected with sleep apnea or not. In addition, I would like to make statistical analysis.
The way your question is phrased seem to suggest you are very early on in your inquiry. I would suggest you start with identify what you are trying to show or demonstrate about obstructive sleep apnea. Machine Learning is just an analysis technique which may or may not be a useful approach to your objective.
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