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ResearchFormerly WizWand

Patient Discharge Disposition Prediction on PDDP

64AccuracySTRMAC
41.01646.98352.9558.917Nov 4, 2025
Updated 4mo ago

Evaluation results

MethodLinks
STRMACBase LLM Model=Llama3.1-70B2025.1164794.559.1
IG-MASBase LLM Model=Llama3.1-70B2025.1162.45,785.735
MACNETBase LLM Model=Llama3.1-70B2025.1160.52,810.945.7
Random-ChainBase LLM Model=Llama3.1-70B2025.1159.67,628.727.8
MOABase LLM Model=Llama3.1-70B2025.1156.613,98614
STRMACBase LLM Model=Qwen2.5-32B2025.1155.3972.250.2
IG-MASBase LLM Model=Qwen2.5-32B2025.1155.24,755.534.3
MDAgentsBase LLM Model=Llama3.1-70B2025.1153.956,0040.2
LLM-DebateBase LLM Model=Llama3.1-70B2025.1153.624,330.64.7
Random-ChainBase LLM Model=Qwen2.5-32B2025.1153.68,137.623.8
STRMACBase LLM Model=Llama3.1-8B2025.1153.2897.148.6
IG-MASBase LLM Model=Llama3.1-8B2025.1152.24,158.634.4
MOABase LLM Model=Llama3.1-8B2025.115214,618.812.1
MACNETBase LLM Model=Qwen2.5-32B2025.1151.32,843.238.6
MOABase LLM Model=Qwen2.5-32B2025.1148.213,670.812.3
MACNETBase LLM Model=Llama3.1-8B2025.1148.13,004.735.6
LLM-DebateBase LLM Model=Qwen2.5-32B2025.1147.918,341.97.7
Random-ChainBase LLM Model=Llama3.1-8B2025.1145.18,338.319.6
MDAgentsBase LLM Model=Llama3.1-8B2025.1144.964,023.80.1
MDAgentsBase LLM Model=Qwen2.5-32B2025.1144.964,023.80.1
LLM-DebateBase LLM Model=Llama3.1-8B2025.1141.922,9744.2