A decision support tool for optimal Levodopa administration in Parkinson's disease

In this work a decision support tool for optimal administration of Levodopa (L-Dopa) in patients with Parkinson's Disease (PD) is presented. The so called Medication Change Proposer (MCP) is part of the PERFORM system, which monitors patient's motion status using a set of wearable sensors, assesses PD symptoms and their severity through dedicated symptoms detection modules (On-Off detection and Levodopa-Induced Dyskinesia detection), and proposes treatment plans to alleviate the symptoms. The methodology is based on the analysis of the outputs of the symptoms detection modules, taking into account the uncertainty (confidence) propagated by their respective classification algorithms. The evaluation of our methodology is performed using artificial follow-up data produced by a specially built simulation environment. The obtained results demonstrate that the MCP outputs compare well with the experts' decisions, indicating high performance.