Patient Discharge Disposition Prediction on PDDP
64AccuracySTRMAC
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| STRMACBase LLM Model=Llama3.1-70B2025.11 | 64 | 794.5 | 59.1 | |
| IG-MASBase LLM Model=Llama3.1-70B2025.11 | 62.4 | 5,785.7 | 35 | |
| MACNETBase LLM Model=Llama3.1-70B2025.11 | 60.5 | 2,810.9 | 45.7 | |
| Random-ChainBase LLM Model=Llama3.1-70B2025.11 | 59.6 | 7,628.7 | 27.8 | |
| MOABase LLM Model=Llama3.1-70B2025.11 | 56.6 | 13,986 | 14 | |
| STRMACBase LLM Model=Qwen2.5-32B2025.11 | 55.3 | 972.2 | 50.2 | |
| IG-MASBase LLM Model=Qwen2.5-32B2025.11 | 55.2 | 4,755.5 | 34.3 | |
| MDAgentsBase LLM Model=Llama3.1-70B2025.11 | 53.9 | 56,004 | 0.2 | |
| LLM-DebateBase LLM Model=Llama3.1-70B2025.11 | 53.6 | 24,330.6 | 4.7 | |
| Random-ChainBase LLM Model=Qwen2.5-32B2025.11 | 53.6 | 8,137.6 | 23.8 | |
| STRMACBase LLM Model=Llama3.1-8B2025.11 | 53.2 | 897.1 | 48.6 | |
| IG-MASBase LLM Model=Llama3.1-8B2025.11 | 52.2 | 4,158.6 | 34.4 | |
| MOABase LLM Model=Llama3.1-8B2025.11 | 52 | 14,618.8 | 12.1 | |
| MACNETBase LLM Model=Qwen2.5-32B2025.11 | 51.3 | 2,843.2 | 38.6 | |
| MOABase LLM Model=Qwen2.5-32B2025.11 | 48.2 | 13,670.8 | 12.3 | |
| MACNETBase LLM Model=Llama3.1-8B2025.11 | 48.1 | 3,004.7 | 35.6 | |
| LLM-DebateBase LLM Model=Qwen2.5-32B2025.11 | 47.9 | 18,341.9 | 7.7 | |
| Random-ChainBase LLM Model=Llama3.1-8B2025.11 | 45.1 | 8,338.3 | 19.6 | |
| MDAgentsBase LLM Model=Llama3.1-8B2025.11 | 44.9 | 64,023.8 | 0.1 | |
| MDAgentsBase LLM Model=Qwen2.5-32B2025.11 | 44.9 | 64,023.8 | 0.1 | |
| LLM-DebateBase LLM Model=Llama3.1-8B2025.11 | 41.9 | 22,974 | 4.2 |