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Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification [AI in Medicine Journal]

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Auto-Diagnosis-by-RL-and-Classification

How to use our code:

  1. The proposed MedlinePlus dataset can be found in ./environment/medlineplus.jsonCancel changes
  2. To run test the method on medlineplus,
    1. cd ./medlineplus_code
    2. CUDA_VISIBLE_DEVICES=0 python3 main.py -train -trail 1
  3. To test the method on symcat disease sets,
    1. cd ./symcat_code
    2. CUDA_VISIBLE_DEVICES=0 python3 main.py -train -train 1 -dataset 200 (300/400/common)

Citation

The citation for our paper is:

@misc{
  efficientautodiag,
  doi = {10.48550/ARXIV.2112.00733},
  url = {https://arxiv.org/abs/2112.00733},
  author = {Yuan, Hongyi and Yu, Sheng},
  title = {Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification},
  publisher = {arXiv},
  year = {2021},
  copyright = {arXiv.org perpetual, non-exclusive license}
}

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Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification [AI in Medicine Journal]

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