Prediction of the Age at Onset of Spinocerebellar Ataxia Type 3 with Machine Learning.

Linliu PengZhao ChenTiankai ChenLijing LeiZhe LongMingjie LiuQi DengHongyu YuanGuangdong ZouLinlin WanChunrong WangHuirong PengYuting ShiPuzhi WangYun PengShang WangLang HeYue XieZhichao TangNa WanYiqing GongXuan HouLu ShenKun XiaJinchen LiChao ChenZuping ZhangRong QiuBeisha TangJiang Hong

Published in: Movement disorders : official journal of the Movement Disorder Society (2020)

Machine-learning algorithms can be used to predict AAO in patients with SCA3/MJD. The optimal XGBoost algorithm can provide a good reference for the establishment and optimization of prediction models for SCA3/MJD or other polyQ diseases. © 2020 International Parkinson and Movement Disorder Society.

Keyphrases

machine learning
artificial intelligence
big data
deep learning
early onset