34 citations · 63 across the 23 of their papers we have counts for
4 papers · 1 filter
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…
Computational Phenotype Discovery via Probabilistic Independence
Thomas A. Lasko, Diego A. Mesa
Computational Phenotype Discovery research has taken various pragmatic approaches to disentangling phenotypes from the episodic observations in Electronic Health Records. In this w…
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…
Opportunities for Mining Radiology Archives for Pediatric Control Images
Camilo Bermudez, Varvara N Probst, Larry T Davis +2
A large database of brain imaging data from healthy, normal controls is useful to describe physiologic and pathologic structural changes at a population scale. In particular, these…