Discovery of novel associations to prevent the onset of Alzheimer’s disease using electronic health records.

Published:

Github repository: https://github.com/dbmi-pitt/alz_lbgcm
Publication(s):

  • Malec SA, Taneja SB, Albert SM, Shaaban CE, Karim HT, Levine AS, Munro PW, Callahan TJ, Boyce RD. Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: a use case studying depression as a risk factor for Alzheimer’s disease. (In Review). 2022. DOI: doi.org/10.1101/2022.07.18.500549.
  • Shaaban CE, Taneja SB, Witonsky KF, Malec SA, Karim HT, Pratt S, Levine AS, Munro PW, Boyce RD, Albert SM. Does clinical data capture modifiable midlife risk factors for Alzheimer’s disease? In 2021 Alzheimer’s Association International Conference; 2021 Jul 26.
  • S. Malec, S. Taneja, K. Witonsky, C. Shaaban, H. Karim, A. Levine, S. Albert, P. Monro, R. Boyce. Modeling Alzheimer’s Disease by Combining Knowledge Extracted from Biomedical Literature with Biomedical Ontologies. Poster Presentation, AMIA Informatics Summit 2021; March 23, 2021.


Funding: This research was supported by the University of Pittsburgh’s Momentum Funds.