Tiffany J Callahan
Tiffany J Callahan
IBM Research
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Cited by
Cited by
The human phenotype ontology in 2021
S Köhler, M Gargano, N Matentzoglu, LC Carmody, D Lewis-Smith, ...
Nucleic acids research 49 (D1), D1207-D1217, 2021
A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data
MG Kahn, TJ Callahan, J Barnard, AE Bauck, J Brown, BN Davidson, ...
Egems 4 (1), 2016
Characterizing long COVID: deep phenotype of a complex condition
RR Deer, MA Rock, N Vasilevsky, L Carmody, H Rando, AJ Anzalone, ...
EBioMedicine 74, 2021
Challenges in defining Long COVID: Striking differences across literature, Electronic Health Records, and patient-reported information
HM Rando, TD Bennett, JB Byrd, C Bramante, TJ Callahan, CG Chute, ...
MedRxiv, 2021
KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 response
JT Reese, D Unni, TJ Callahan, L Cappelletti, V Ravanmehr, S Carbon, ...
Patterns 2 (1), 2021
Early initiation of newborn individualized developmental care and assessment program (NIDCAP) reduces length of stay: a quality improvement project
C Moody, TJ Callahan, H Aldrich, B Gance-Cleveland, S Sables-Baus
Journal of pediatric nursing 32, 59-63, 2017
Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes
JT Reese, H Blau, E Casiraghi, T Bergquist, JJ Loomba, TJ Callahan, ...
EBioMedicine 87, 2023
Three dimensions of reproducibility in natural language processing
KB Cohen, J Xia, P Zweigenbaum, TJ Callahan, O Hargraves, F Goss, ...
Lrec... international conference on language resources & evaluation …, 2018
Knowledge-based biomedical data science
TJ Callahan, IJ Tripodi, H Pielke-Lombardo, LE Hunter
Annual review of biomedical data science 3, 23-41, 2020
A comparison of data quality assessment checks in six data sharing networks
TJ Callahan, AE Bauck, D Bertoch, J Brown, R Khare, PB Ryan, J Staab, ...
EGEMs 5 (1), 2017
Evaluating the Hispanic paradox in the context of adolescent risky sexual behavior: The role of parent monitoring
HC Karoly, T Callahan, SJ Schmiege, SW Feldstein Ewing
Journal of pediatric psychology 41 (4), 429-440, 2016
Reporting data quality assessment results: identifying individual and organizational barriers and solutions
T Callahan, J Barnard, L Helmkamp, J Maertens, M Kahn
EGEMs 5 (1), 2017
The GA4GH Phenopacket schema defines a computable representation of clinical data
JOB Jacobsen, M Baudis, GS Baynam, JS Beckmann, S Beltran, ...
Nature biotechnology 40 (6), 817-820, 2022
Incrementally transforming electronic medical records into the observational medical outcomes partnership common data model: a multidimensional quality assurance approach
KE Lynch, SA Deppen, SL DuVall, B Viernes, A Cao, D Park, E Hanchrow, ...
Applied clinical informatics 10 (05), 794-803, 2019
A simple standard for sharing ontological mappings (SSSOM)
N Matentzoglu, JP Balhoff, SM Bello, C Bizon, M Brush, TJ Callahan, ...
Database 2022, 2022
Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery
XA Zhang, A Yates, N Vasilevsky, JP Gourdine, TJ Callahan, LC Carmody, ...
NPJ digital medicine 2 (1), 32, 2019
Murine trophoblast-derived and pregnancy-associated exosome-enriched extracellular vesicle microRNAs: Implications for placenta driven effects on maternal physiology
AL Stefanski, N Martinez, LK Peterson, TJ Callahan, E Treacy, M Luck, ...
PloS one 14 (2), e0210675, 2019
Characterization of childhood obesity and behavioral factors
J Olson, H Aldrich, TJ Callahan, EE Matthews, B Gance-Cleveland
Journal of Pediatric Health Care 30 (5), 444-452, 2016
Using a data quality framework to clean data extracted from the electronic health record: a case study
O Dziadkowiec, T Callahan, M Ozkaynak, B Reeder, J Welton
eGEMs 4 (1), 2016
Mondo: Unifying diseases for the world, by the world
NA Vasilevsky, NA Matentzoglu, S Toro, JE Flack IV, H Hegde, DR Unni, ...
medRxiv, 2022.04. 13.22273750, 2022
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