Designing a Quantum Bayesian Network for Rare Disease Diagnosis

While data informs our model. Our model prescribes the data we need

To be able to diagnose rare diseases early and reliably, we need a system that can reason logically. Not just classify. Not just matching patterns. Reason.

This is a different kind of machine learning endeavor.

But before we start looking for data sets, we need to find out what data we need for our Quantum Bayesian Network to diagnose rare diseases.

So in today's post, we outline the architecture of a Quantum Bayesian Network for rare disease diagnosis. We will determine what data we need and what purpose it serves.