Contextual cocitation: Augmenting cocitation analysis and its applications. - Alison Callahan; Stephen Hockema; Gunther Eysenbach (J. Assoc. Inf. Sci. Technol., 2010)

HyQue: evaluating hypotheses using Semantic Web technologies. - Alison Callahan; Michel Dumontier; Nigam H. Shah (J. Biomed. Semant., 2011)

Evaluating Scientific Hypotheses Using the SPARQL Inferencing Notation. - Alison Callahan; Michel Dumontier (ESWC, 2012)

Improved Dataset Coverage and Interoperability with Bio2RDF Release 2. - Alison Callahan; Jose Cruz-Toledo; Peter Ansell; Dana Klassen; Giovanni Tumarello; Michel Dumontier (SWAT4LS, 2012)

Bio2RDF Release 2: Improved Coverage, Interoperability and Provenance of Life Science Linked Data. - Alison Callahan; Jose Cruz-Toledo; Peter Ansell; Michel Dumontier (ESWC, 2013)

HyQue: A Semantic Web tool for evaluating scientific hypotheses. - Alison Callahan; Michel Dumontier (ICBO, 2013)

A Large-scale Gene-centric Semantic Web Knowledge Base for Molecular Biology. - Jose Cruz-Toledo; Alison Callahan; Michel Dumontier (ORE, 2013)

Ontology-Based Querying with Bio2RDF's Linked Open Data. - Alison Callahan; Jose Cruz-Toledo; Michel Dumontier (J. Biomed. Semant., 2013)

Ovopub: Modular data publication with minimal provenance - Alison Callahan; Michel Dumontier (CoRR, 2013)

1st Semantic Web Technologies for Libraries and Readers (STLR 2011). - Alison Callahan; Michel Dumontier; Jodi Schneider; Lars Svensson (Bull. IEEE Tech. Comm. Digit. Libr., 2013)

Bio2RDF Release 3: A larger, more connected network of Linked Data for the Life Sciences. - Michel Dumontier; Alison Callahan; Jose Cruz-Toledo; Peter Ansell; Vincent Emonet; François Belleau; Arnaud Droit (ISWC (Posters & Demos), 2014)

The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery. - Michel Dumontier; Christopher J. O. Baker; Joachim Baran; Alison Callahan; Leonid L. Chepelev; Jose Cruz-Toledo; Nicholas R. Del Rio; Geraint Duck; Laura Inés Furlong; Nichealla Keath; Dana Klassen; Jamie P. McCusker; et al. (J. Biomed. Semant., 2014)

Automatically exposing OpenLifeData via SADI semantic Web Services. - Alejandro Rodríguez González; Alison Callahan; José Cruz-Toledo; Adrian Garcia; Mikel Egaña Aranguren; Michel Dumontier; Mark D. Wilkinson (J. Biomed. Semant., 2014)

Analyzing Search Behavior of Healthcare Professionals for Drug Safety Surveillance. - David J. Odgers; Rave Harpaz; Alison Callahan; Gregor Stiglic; Nigam H. Shah (Pacific Symposium on Biocomputing, 2015)

An evidence-based approach to identify aging-related genes in Caenorhabditis elegans. - Alison Callahan; Juan Cifuentes; Michel Dumontier (BMC Bioinform., 2015)

Discovering Patient Phenotypes Using Generalized Low Rank Models. - Alejandro Schuler; Vincent X. Liu; Joe Wan; Alison Callahan; Madeleine Udell; David E. Stark; Nigam H. Shah (PSB, 2016)

RegenBase: a knowledge base of spinal cord injury biology for translational research. - Alison Callahan; Saminda Abeyruwan; Hassan Al-Ali; Kunie Sakurai; Adam R. Ferguson; Phillip G. Popovich; Nigam H. Shah; Ubbo Visser; John L. Bixby; Vance P. Lemmon (Database J. Biol. Databases Curation, 2016)

Learning Across a Healthcare Data Network to Improve Model Robustness and Evidence Reliability. - Noémie Elhadad; Iñigo Urteaga; Alison Callahan; Jenna Reps; Patrick B. Ryan (AMIA, 2019)

Medical device surveillance with electronic health records. - Alison Callahan; Jason A. Fries; Christopher Ré; James I Huddleston III; Nicholas J. Giori; Scott L. Delp; Nigam H. Shah (npj Digit. Medicine, 2019)

It is time to learn from patients like mine. - Saurabh Gombar; Alison Callahan; Robert M. Califf; Robert A. Harrington; Nigam H. Shah (npj Digit. Medicine, 2019)

Trove: Ontology-driven weak supervision for medical entity classification. - Jason A. Fries; Ethan Steinberg; Saelig Khattar; Scott L. Fleming; José D. Posada; Alison Callahan; Nigam H. Shah (CoRR, 2020)

Measure what matters: Counts of hospitalized patients are a better metric for health system capacity planning for a reopening. - Sehj Kashyap; Saurabh Gombar; Steve Yadlowsky; Alison Callahan; Jason A. Fries; Benjamin A. Pinsky; Nigam H. Shah (J. Am. Medical Informatics Assoc., 2020)

Estimating the efficacy of symptom-based screening for COVID-19. - Alison Callahan; Ethan Steinberg; Jason A. Fries; Saurabh Gombar; Birju S. Patel; Conor K. Corbin; Nigam H. Shah (npj Digit. Medicine, 2020)

ACE: the Advanced Cohort Engine for searching longitudinal patient records. - Alison Callahan; Vladimir Polony; José D. Posada; Juan M. Banda; Saurabh Gombar; Nigam H. Shah (J. Am. Medical Informatics Assoc., 2021)

Real-World Data at the Point-of-Care: Exploring Education Needs Across All Stakeholders. - Julian Genkins; Dev Dash; Lillian Sung; Saurabh Gombar; Alison Callahan (AMIA, 2022)

BigBio: A Framework for Data-Centric Biomedical Natural Language Processing. - Jason A. Fries; Leon Weber; Natasha Seelam; Gabriel Altay; Debajyoti Datta; Samuele Garda; Sunny Kang; Rosaline Su; Wojciech Kusa; Samuel Cahyawijaya; Fabio Barth; Simon Ott; et al. (NeurIPS, 2022)

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing. - Jason Alan Fries; Leon Weber; Natasha Seelam; Gabriel Altay; Debajyoti Datta; Samuele Garda; Myungsun Kang; Ruisi Su; Wojciech Kusa; Samuel Cahyawijaya; Fabio Barth; Simon Ott; et al. (CoRR, 2022)

Considerations in the reliability and fairness audits of predictive models for advance care planning. - Jonathan Lu; Amelia Sattler; Samantha Wang; Ali Raza Khaki; Alison Callahan; Scott L. Fleming; Rebecca Fong; Benjamin Ehlert; Ron C. Li; Lisa Shieh; Kavitha Ramchandran; Michael Gensheimer 001; et al. (Frontiers Digit. Health, 2022)

Principled estimation and evaluation of treatment effect heterogeneity: A case study application to dabigatran for patients with atrial fibrillation. - Yizhe Xu; Katelyn K. Bechler; Alison Callahan; Nigam Shah (J. Biomed. Informatics, 2023)

APLUS: A Python library for usefulness simulations of machine learning models in healthcare. - Michael Wornow; Elsie Gyang Ross; Alison Callahan; Nigam H. Shah (J. Biomed. Informatics, 2023)

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. - Scott L. Fleming; Alejandro Lozano; William J. Haberkorn; Jenelle A. Jindal; Eduardo Pontes Reis; Rahul Thapa; Louis Blankemeier; Julian Z. Genkins; Ethan Steinberg; Ashwin Nayak 002; Birju S. Patel; Chia-Chun Chiang; et al. (AAAI, 2024)

Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems. - Alison Callahan; Duncan C. McElfresh; Juan M. Banda; Gabrielle Bunney; Danton Char; Jonathan H. Chen; Conor K. Corbin; Debadutta Dash; Norman L. Downing; Sneha S. Jain; Nikesh Kotecha; Jonathan Masterson; et al. (CoRR, 2024)