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Shoupa: An AI System for Early Diagnosis of Parkinson's Disease

arXiv 2211.15234 ↗First posted 28 Nov 2022cs.AIcited by 0

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Abstract (arXiv)

Parkinson's Disease (PD) is a progressive nervous system disorder that has affected more than 5.8 million people, especially the elderly. Due to the complexity of its symptoms and its similarity to other neurological disorders, early detection requires neurologists or PD specialists to be involved, which is not accessible to most old people. Therefore, we integrate smart mobile devices with AI technologies. In this paper, we introduce the framework of our developed PD early detection system which combines different tasks evaluating both motor and non-motor symptoms. With the developed model, we help users detect PD punctually in non-clinical settings and figure out their most severe symptoms. The results are expected to be further used for PD rehabilitation guidance and detection of other neurological disorders.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 9 references that are in the map. First posted on arXiv 28 Nov 2022.

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References · 2

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2016XGBoost: A Scalable Tree Boosting Systemcited by 5,166

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