My aim is to train a model for predicting diseases. Now, according to this Wikipedia article, diseases are classified based on the following criteria in general:
- Causes (of the disease)
- Pathogenesis (the mechanism by which the disease progresses)
- Symptoms (of the disease)
- Damage (caused by the disease)
- Organ type (e.g. heart disease, liver disease, etc.)
Are these features used for predicting diseases universally (i.e. all types of diseases)? I don't think so. There can be other attributes as well. For example, traveling in the case of coronavirus.
So, are there better features for predicting diseases? Or which ones among them are better than the others, when patients specify their health issues?