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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)
  • Age
  • Gender
  • 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?

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    $\begingroup$ Hi and welcome to AI SE! This is a good and important question. Can you please cite the source that suggested you the features you're currently listing? $\endgroup$ – nbro Mar 16 at 17:58
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    $\begingroup$ @Muhammad Maqsoodur Rehman: You are not asking an AI question but a subject domain question. I suggest you ask the same question on a disease research site. When you build your classifier you can determine which features are dominant. For example, with random forests see this aricle: towardsdatascience.com/… $\endgroup$ – Brian O'Donnell Mar 17 at 12:34
  • $\begingroup$ @nbro Thank you for appreciating my question. Here is the source: en.wikipedia.org/wiki/Disease#Classification. This list for attributes is obviously not final. There can be other attributes as well. For example, traveling in the case of Coronavirus. Would love to talk and discuss more about it. $\endgroup$ – Muhammad Maqsoodur Rehman Mar 18 at 1:45
  • $\begingroup$ @BrianO'Donnell I see.Thank you for the link of the article you have share here. $\endgroup$ – Muhammad Maqsoodur Rehman Mar 18 at 1:47

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