Justin Guinney
Orcid: 0000-0003-1477-1888
According to our database1,
Justin Guinney
authored at least 30 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
AI Competitions and Benchmarks, Practical issues: Proposals, grant money, sponsors, prizes, dissemination, publicity.
CoRR, 2024
2023
Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine.
J. Am. Medical Informatics Assoc., December, 2023
2022
Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C).
J. Am. Medical Informatics Assoc., 2022
CoRR, 2022
The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models.
CoRR, 2022
Assessing Machine Learning Based Generators for Synthetic Electronic Health Records: A Benchmarking.
Proceedings of the AMIA 2022, 2022
2021
Knowledge-based classification of fine-grained immune cell types in single-cell RNA-Seq data.
Briefings Bioinform., September, 2021
Crowdsourced identification of multi-target kinase inhibitors for RET- and TAU- based disease: The Multi-Targeting Drug DREAM Challenge.
PLoS Comput. Biol., 2021
Preview of "Interpretable systems biomarkers predict response to immune-checkpoint inhibitors".
Patterns, 2021
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.
J. Am. Medical Informatics Assoc., 2021
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
A Continuous Crowd-sourced Challenge for Benchmarking COVID-19 Health Outcome Prediction.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
COVID-19 Mortality Prediction among Patients with Cancer Using a Large National Cohort.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction.
J. Am. Medical Informatics Assoc., 2020
Global research consortia and data harmonization projects drive the clinical interpretation of cancers.
Proceedings of the AMIA 2020, 2020
2018
J. Cheminformatics, 2018
2016
Bioinform., 2016
Personalized Hypothesis Tests for Detecting Medication Response in Parkinson Disease Patients Using iPhone Sensor Data.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
2015
J. Am. Medical Informatics Assoc., 2015
Stepwise Group Sparse Regression (SGSR): Gene-Set-Based Pharmacogenomic Predictive Models with Stepwise Selection of Functional Priors.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
2014
Systematic Assessment of Analytical Methods for Drug Sensitivity Prediction from Cancer Cell Line Data.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014
2013
Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling.
PLoS Comput. Biol., 2013
BMC Bioinform., 2013
2012
Correlation set analysis: detecting active regulators in disease populations using prior causal knowledge.
BMC Bioinform., 2012
2011
Mach. Learn., 2011
2010
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence.
J. Mach. Learn. Res., 2010
2009
2008
Bioinform., 2008
2006
Analysis of sample set enrichment scores: assaying the enrichment of sets of genes for individual samples in genome-wide expression profiles.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006