2023
DOI: 10.11113/aej.v13.18777
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Machine Learning Methods for Early-Stage Diagnosis of Parkinson's Disease Through Handwriting Data

Matthew C. Dionela,
Carey Louise B. Arroyo,
Mhica S. Torres
et al.

Abstract: Parkinson's disease (PD) deteriorates human cognitive and motor functions, causing slowness of movements and postural shakiness. PD is currently incurable, and managing symptoms in its late stages is difficult. PD diagnosis also has gaps in accuracy due to several clinical challenges. Thus, early-stage detection of PD through its symptoms, such as handwriting abnormality, has become a popular research area using machine learning. Since most related studies focus on advanced algorithms, this study aims to deter… Show more

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