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stat.AP2025
Cryptogenic stroke and migraine: using probabilistic independence and machine learning to uncover latent sources of disease from the electronic health record
Joshua W. Betts, John M. Still, Thomas A. Lasko
Migraine is a common but complex neurological disorder that doubles the lifetime risk of cryptogenic stroke (CS). However, this relationship remains poorly characterized, and few c…
stat.AP2025
Embedding Complexity In the Data Representation Instead of In the Model: A Case Study Using Heterogeneous Medical Data
Jacek M. Bajor, Diego A. Mesa, Travis J. Osterman +1
Electronic Health Records have become popular sources of data for secondary research, but their use is hampered by the amount of effort it takes to overcome the sparsity, irregular…