Jenna Reps
Orcid: 0000-0002-2970-0778
According to our database1,
Jenna Reps
authored at least 38 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data.
J. Big Data, December, 2024
2023
Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary.
BMC Medical Informatics Decis. Mak., December, 2023
Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction Models.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
2022
Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability.
BMC Medical Informatics Decis. Mak., 2022
Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary.
BMC Medical Informatics Decis. Mak., 2022
Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?
Int. J. Medical Informatics, 2022
Why predicting risk can't identify 'risk factors': empirical assessment of model stability in machine learning across observational health databases.
Proceedings of the Machine Learning for Healthcare Conference, 2022
2021
An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design.
BMC Medical Informatics Decis. Mak., 2021
Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets.
J. Big Data, 2021
Machine-learning model to predict the cause of death using a stacking ensemble method for observational data.
J. Am. Medical Informatics Assoc., 2021
A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data.
Comput. Methods Programs Biomed., 2021
2020
2019
Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking status.
J. Biomed. Informatics, 2019
Learning Across a Healthcare Data Network to Improve Model Robustness and Evidence Reliability.
Proceedings of the AMIA 2019, 2019
2018
Using simulation to incorporate dynamic criteria into multiple criteria decision-making.
J. Oper. Res. Soc., 2018
Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data.
J. Am. Medical Informatics Assoc., 2018
2016
Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining.
Comput. Biol. Medicine, 2016
2015
A supervised adverse drug reaction signalling framework imitating Bradford Hill's causality considerations.
J. Biomed. Informatics, 2015
Identifying Candidate Risk Factors for Prescription Drug Side Effects Using Causal Contrast Set Mining.
Proceedings of the Health Information Science - 4th International Conference, 2015
2014
PhD thesis, 2014
IEEE J. Biomed. Health Informatics, 2014
CoRR, 2014
CoRR, 2014
Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-stage Cancer.
CoRR, 2014
Refining Adverse Drug Reactions Using Association Rule Mining for Electronic Healthcare Data.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Tuning a multiple classifier system for side effect discovery using genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Comparison of algorithms that detect drug side effects using electronic healthcare databases.
Soft Comput., 2013
Investigating the Detection of Adverse Drug Events in a UK General Practice Electronic Health-Care Database.
CoRR, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
2012
Proceedings of the 12th UK Workshop on Computational Intelligence, 2012
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
2011
Proceedings of the Artificial Immune Systems - 10th International Conference, 2011