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Multi-modality machine learning predicting Parkinson's disease

Medicine and Health

Multi-modality machine learning predicting Parkinson's disease

M. B. Makarious, H. L. Leonard, et al.

This groundbreaking study harnesses multimodal data and machine learning to predict Parkinson's disease risk with remarkable accuracy. Developed using the GenoML package, the model demonstrates its potential for large-scale screening, identifying key predictive features such as UPSIT and PRS. The work was conducted by a team of renowned researchers exploring innovative approaches in the pursuit of better healthcare solutions.... show more
Citation Metrics
Citations
148
Influential Citations
5
Reference Count
91
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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