We developed a lightweight, interpretable ML tool for Alzheimer’s prediction using NACC data (n=52,537).
A 19-feature LightGBM model reached ROC-AUC 0.90 with strong clinical applicability.
Link: dx.doi.org/10.1002/dad2...
We developed a lightweight, interpretable ML tool for Alzheimer’s prediction using NACC data (n=52,537).
A 19-feature LightGBM model reached ROC-AUC 0.90 with strong clinical applicability.
Link: dx.doi.org/10.1002/dad2...