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Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning
In their initial interaction with patients, doctors do not only focus on identifying the pathology a patient is suffering from; they instead generate a differential diagnosis (in the form of a short list of plausible diseases) because the medical evidence collected from patients is often insufficient to establish a final diagnosis.
DDXPlus: A New Dataset For Automatic Medical Diagnosis
In this work, we present a large-scale synthetic dataset of roughly 1. 3 million patients that includes a differential diagnosis, along with the ground truth pathology, symptoms and antecedents for each patient.
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