Zachary Yukio Kerr, Paula Gildner, Stephanie K Parker, Vasiliki Kostogiannes, Christine E Callahan, Aliza K Nedimyer, Melissa K Kossman, Avinash Chandran, Johna K Register-Mihalik
Sport culture and communication among middle school athletes, parents, and staff: A qualitative study
PloS one
early classification prediction alzheimer disease ad amnestic mild cognitive impairment amci noninvasive approaches longstanding challenge challenge exacerbated sparsity data needed modeling deep learning methods offer novel method help address challenging multiclass classification prediction problems analyzed 3 target featuresets national alzheimer coordinating center nacc dataset 1 neuropsychological cognitive data 2 patient health history data 3 combination sets used masked transformerencoder without feature selection classify samples cognitive status cognitive impairment amci addynamically ignoring unavailable features finetuned model predict participants future diagnosis 1 3 years analyzed sensitivity model input features via feature permutation importance demonstrated 1 masked transformerencoder able perform prediction sparse input data 2 high multiclass current cognitive status classification accuracy 87 control 79 amci 89 ad 3 acceptable results 1 3year multiclass future cognitive status prediction 83 control 77 amci 91 ad flexibility methods handling inconsistent data provides new venue analysis cognitive status data