notesum.ai
Published at December 3Step-by-Step Guidance to Differential Anemia Diagnosis with Real-World Data and Deep Reinforcement Learning
cs.LG
Released Date: December 3, 2024
Authors: Lillian Muyama1, Estelle Lu, Geoffrey Cheminet, Jacques Pouchot, Bastien Rance, Anne-Isabelle Tropeano, Antoine Neuraz, Adrien Coulet
Aff.: 1Inria Paris, Paris, 75013, France

| Model | Accuracy | F1 | ROC-AUC | MEL |
| Random agent | 8.60 ± 4.03 | 5.91 ± 3.18 | 46.73 ± 6.40 | 2.02 ± 0.12 |
| Tree-based agent | 57.02 ± 0.00 | 27.9 ± 0.00 | 69.75 ± 0.00 | 3.18 ± 0.00 |
| RWD-trained DT | 81.93 ± 0.45 | 55.82 ± 0.94 | 75.47 ± 0.50 | 10.72 ± 0.00 |
| Random Forest | 86.84 ± 0.93 | 57.29 ± 1.36 | 75.69 ± 0.56 | N/A |
| XGBoost | 84.21 ± 0.00 | 61.77 ± 0.00 | 78.61 ± 0.00 | N/A |
| FFNN | 75.44 ± 2.65 | 45.34 ± 5.92 | 70.99 ± 2.65 | N/A |
| Best DQN (Fine-tuned Dueling DQN-PER) | 77.19 ± 0.00 | 63.48 ± 0.00 | 77.67 ± 0.00 | 3.19 ± 0.00 |