Multi-Modality Machine Learning Predicting Parkinsons Disease
Mary B. Makarious, Hampton L. Leonard, Dan Vitale, Hirotaka Iwaki, Lana J. Sargent, Anant Dadu, Ivo Violich, Elizabeth D. Hutchins, David Saffo, Sara Bandrés‐Ciga, Jonggeol Jeff Kim, Yeajin Song, Melina Maleknia, Matt Bookman, Willy Nojopranoto, , Mike A. Nalls
This paper develops an automated ML model to predict Parkinson's Disease using multi-modal data, achieving high AUC scores and constructing gene networks relevant to PD.
npj Parkinson s Disease · Apr 1, 2022Peer-reviewedGenomics