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Scott Alexander Malec
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Proppian Structural Analysis and XML Modeling
SA Malec
Proc. of Computers, Literature and Philology (CLiP 2001), 2001
312001
Integration of linguistic markup into semantic models of folk narratives: The fairy tale use case
P Lendvai, T Declerck, S Darányi, P Gervás, R Hervás, S Malec, ...
LREC... International Conference on Language Resources & Evaluation …, 2010
252010
Autopropp: Toward the automatic markup, classification, and annotation of russian magic tales
S Malec
Workshop on Automated Motif Discovery in Cultural Heritage and Scientific …, 2010
202010
Propp revisited: Integration of linguistic markup into structured content descriptors of tales
P Lendvai, T Declerck, S Darányi, S Malec
152010
Literature-Based Discovery of Confounding in Observational Clinical Data
S Malec, P Wei, H Xu, EV Bernstam, Bernstam, S Myneni, T Cohen
AMIA Chicago, 2016
112016
Using computable knowledge mined from the literature to elucidate confounders for EHR-based pharmacovigilance
SA Malec, P Wei, EV Bernstam, RD Boyce, T Cohen
Journal of biomedical informatics 117, 103719, 2021
92021
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 …
BRD Malec SA, Taneja SB, Albert SM, Shaaban CE, Karim HT, Levine AS, Munro ...
bioRxiv, https://www.biorxiv.org/content/10.1101/, 2023
6*2023
Exploring novel computable knowledge in structured drug product labels
SA Malec, RD Boyce
AMIA Summits on Translational Science Proceedings 2020, 403, 2020
52020
An open source knowledge graph ecosystem for the life sciences
TJ Callahan, IJ Tripodi, AL Stefanski, L Cappelletti, SB Taneja, JM Wyrwa, ...
Scientific Data 11 (1), 363, 2024
42024
Using the literature to construct causal models for pharmacovigilance
S Malec, A Gottlieb, E Bernstam, T Cohen
Easy Chair 23, 2018
32018
Using the Literature to Identify Confounders
SA Malec
University of Texas Health Science Center at Houston. School of Biomedical …, 2018
22018
Using literature to identify confounding variables in clinical observational data
SA Malec, P Wei, EV Bernstam, S Myneni, T Cohen
AMIA Annu Symp Proc, 118-173, 2016
22016
Proppian structural analysis and XML modeling (2004)
SA Malec
2
Using structured knowledge to help identify and prevent M-bias.
SA Malec, S Albert
AMIA, 2022
2022
Does clinical data capture modifiable midlife risk factors for Alzheimer’s disease?
CE Shaaban, SB Taneja, KF Witonsky, SA Malec, HT Karim, S Pratt, ...
Alzheimer's & Dementia 17, e055756, 2021
2021
Identification of Factors Associated with Subsequent Alzheimer's Disease Diagnosis Using Machine Learning Over Complex Large-scale Longitudinal Health Data
R Boyce, S Albert, P Munro
2020
Landing Propp in Interaction Space: First Steps Toward Scalable Open Domain Narrative Analysis With Predication-based Semantic Indexing
S Malec, S Darányi, D Widdows, T Cohen
9th International Conference on Quantum Interaction, 2015
2015
Integration of Linguistic Markup into Semantic Models of Folk Narratives: The Fairy Tale Use Case. In: Proceedings of the Seventh conference on International Language Resources …
P Lendvai, T Declerck, S Darányi, P Gervás, R Hervás, S Malec, ...
European Language Resources Association (ELRA), 2010
2010
Modeling Alzheimer’s Disease by Combining Knowledge Extracted from Biomedical Literature with Biomedical Ontologies
SA Malec, SB Taneja, SM Albert, HT Karim, AS Levine, PW Munro, ...
Using Domain Knowledge to Construct Causal Models from Clinical Observational Data
SA Malec, RM Majid, H Liu, EV Bernstam, P Wei, T Cohen
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Articles 1–20