I'm wondering how an automated diagnosis could work in practice.
The data probably contains a number of symptoms or measurements (bloodwork), and a diagnosis by a doctor.
I can see how you can train a deep-learning model for that.
What if the patient is prescribed medication. Is the condition of the patient over time (after giving the medication) tracked by doctors?
Personally, I have found that once a doctor prescribes me some medication, he never asks me how things are going (except maybe once). So how accurate can the data be?
The data probably contains a number of symptoms or measurements (bloodwork), and a diagnosis by a doctor.
I can see how you can train a deep-learning model for that.
What if the patient is prescribed medication. Is the condition of the patient over time (after giving the medication) tracked by doctors?
Personally, I have found that once a doctor prescribes me some medication, he never asks me how things are going (except maybe once). So how accurate can the data be?