automatic symptom detection systems

applied research project with Dialogue

  • Development of automatic symptom detection systems with a focus on doctors’ acceptibility of them by emulating their reasoning
  • We created a large-scale synthetic dataset for training such systems and developed one with RL
  • The dataset is the first of its kind and the RL model outperforms competitors in our areas of interest
  • Published in NeurIPS main track, and the dataset and benchmark track