My aim is to create a trained model for predicting diseases. Now 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)? Or are there better features for predicting diseases? Or which ones among them are better than the others when patients narrate their health issues?