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Resource allocation under uncertainty and equity constraints in Parkinson’s disease care: An econometrically grounded machine learning framework
Objective: To apply an integrated causal-inference and welfare-optimization framework to Iranian Parkinson’s disease (PD) inpatient insurance claims, estimating how resource-allocation decisions relate to recovery, discharge risk, cost and financial burden; testing whether these relationships vary a
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