Benchmarking machine learning models for late-onset alzheimer’s disease prediction from genomic data

Machine learning models are promising alternatives for estimating the genetic risk of LOAD. Systematic machine learning model selection also provides the opportunity to identify new genetic markers potentially associated with the disease.