1. To test the method on DDXPlus disease sets,
   1. python main.py --cuda_idx 0  --n_workers 4 --thres 0.5 --min_rec_ratio 1.0 --output "./" --run_mode "train" --evi_meta_path "release_evidences.json" --patho_meta_path "release_conditions.json" --eval_batch_size 4139  --batch_size 2657  --num_epochs 100 --interaction_length 30 --patience 20 --data "release_train_patients.zip" --eval_data "release_validate_patients.zip" --lr 0.0003469 --only_diff_at_end 1 --hidden_size 2048 --num_layers 3 --masked_inquired_actions --include_turns_in_state --compute_metrics_flag
   2. python main.py --cuda_idx 0  --n_workers 4 --thres 0.5 --min_rec_ratio 1.0 --output "./" --run_mode "train" --evi_meta_path "release_evidences.json" --patho_meta_path "release_conditions.json" --eval_batch_size 4139  --batch_size 2657  --num_epochs 100 --interaction_length 30 --patience 20 --data "release_train_patients.zip" --eval_data "release_validate_patients.zip" --lr 0.0002801 --only_diff_at_end 1 --hidden_size 2048 --num_layers 2 --masked_inquired_actions --include_turns_in_state --compute_metrics_flag --no_differential
 
