BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis. (arXiv:2012.01065v3 [cs.LG] UPDATED)

A growing number of people are seeking healthcare advice online. Usually,
they diagnose their medical conditions based on the symptoms they are
experiencing, which is also known as self-diagnosis. From the machine learning
perspective, online disease diagnosis is a sequential feature (symptom)
selection and classification problem. Reinforcement learning (RL) methods are
the standard approaches to this type of tasks. Generally, they perform well
when the feature space is small, but frequently become inefficient in tasks
with a large number of …

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