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From Clinical Criteria to AI-Based Classification of Advanced Parkinson’s Disease: A Data-Driven Approach Using Structured PPMI Data

2025-10-13

Abstract excerpt

<title>Abstract</title> <p>Advanced Parkinson’s disease (APD) involves severe motor and non-motor complications and requires early identification, yet lacks a standardized quantitative definition. This study translated expert-defined CDEPA criteria into 216 structured variables from the Parkinson’s Progression Markers Initiative (PPMI) dataset to train machine learning models for early APD classification. A 1,302...

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Literature Corpus work
756ec9ee-00bb-5ea4-946a-39a04ec7bf10
DOI
10.21203/rs.3.rs-7745559/v1
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From Clinical Criteria to AI-Based Classification of Advanced Parkinson’s Disease: A Data-Driven Approach Using Structured PPMI DataDOI 10.21203/rs.3.rs-7745559/v1
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