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Found 3 papers, 3 papers with code
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.
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
One of the biggest challenges that prohibit the use of many current NLP methods in clinical settings is the availability of public datasets.
Ranked #1 on
Mortality Prediction
on MIMIC-III
(Accuracy metric)
