Scott A. Malec

According to our database, Scott A. Malec authored at least 9 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Unsupervised Latent Pattern Analysis for Estimating Type 2 Diabetes Risk in Undiagnosed Populations.

Praveen Kumar, Vincent T. Metzger, Scott A. Malec

CoRR, May, 2025

Detecting Opioid Use Disorder in Health Claims Data With Positive Unlabeled Learning.

Praveen Kumar, Fariha Moomtaheen, Scott A. Malec, Jeremy J. Yang, Cristian Bologa, Kristan Alexander Schneider, Yiliang Zhu, Mauricio Tohen, Gerardo Villarreal, Douglas J. Perkins, Elliot M. Fielstein, Sharon E. Davis, Michael E. Matheny, Christophe G. Lambert

IEEE J. Biomed. Health Informatics, February, 2025

2023

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.

Scott A. Malec, Sanya Bathla Taneja, Steven M. Albert, C. Elizabeth Shaaban, Helmet T. Karim, Arthur S. Levine, Paul Munro, Tiffany J. Callahan, Richard D. Boyce

J. Biomed. Informatics, June, 2023

An Open-Source Knowledge Graph Ecosystem for the Life Sciences.

Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya Bathla Taneja, Jordan M. Wyrwa, Elena Casiraghi, Nicolas A. Matentzoglu, Justin T. Reese, Jonathan C. Silverstein, Charles Tapley Hoyt, Richard D. Boyce, Scott A. Malec, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook E. Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner Jr., Lawrence E. Hunter

CoRR, 2023

2022

Using structured knowledge to help identify and prevent M-bias.

Scott A. Malec, Steve Albert

Proceedings of the AMIA 2022, 2022

2021

Using computable knowledge mined from the literature to elucidate confounders for EHR-based pharmacovigilance.

Scott A. Malec, Peng Wei, Elmer V. Bernstam, Richard D. Boyce, Trevor Cohen

J. Biomed. Informatics, 2021

2016

Literature-Based Discovery of Confounding in Observational Clinical Data.

Scott A. Malec, Peng Wei, Hua Xu, Elmer V. Bernstam, Sahiti Myneni, Trevor Cohen

Proceedings of the AMIA 2016, 2016

2010

Integration of Linguistic Markup into Semantic Models of Folk Narratives: The Fairy Tale Use Case.

Piroska Lendvai, Thierry Declerck, Sándor Darányi, Pablo Gervás, Raquel Hervás, Scott A. Malec, Federico Peinado

Proceedings of the International Conference on Language Resources and Evaluation, 2010

Propp Revisited: Integration of Linguistic Markup into Structured Content Descriptors of Tales.

Piroska Lendvai, Thierry Declerck, Sándor Darányi, Scott A. Malec

Proceedings of the 5th Annual International Conference of the Alliance of Digital Humanities Organizations, 2010