Spiros C. Denaxas
Orcid: 0000-0001-9612-7791Affiliations:
- University College London, Institute of Health Informatics, UK
According to our database1,
Spiros C. Denaxas
authored at least 39 papers
between 2005 and 2023.
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Bibliography
2023
Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration.
BMC Medical Informatics Decis. Mak., December, 2023
J. Am. Medical Informatics Assoc., January, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
BMC Medical Informatics Decis. Mak., December, 2022
Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond.
J. Am. Medical Informatics Assoc., 2022
CoRR, 2022
2021
An informatics consult approach for generating clinical evidence for treatment decisions.
BMC Medical Informatics Decis. Mak., 2021
Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning.
BMC Medical Informatics Decis. Mak., 2021
Mapping the Read2/CTV3 controlled clinical terminologies to Phecodes in UK Biobank primary care electronic health records: implementation and evaluation.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
2019
J. Supercomput., 2019
Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records.
BMC Medical Informatics Decis. Mak., 2019
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.
J. Am. Medical Informatics Assoc., 2019
Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death.
J. Biomed. Semant., 2019
Analysing the Heterogeneity of Rule-Based EHR Phenotyping Algorithms in CALIBER and the UK Biobank.
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019
Phenotyping UK Electronic Health Records from 15 Million Individuals for Precision Medicine: The CALIBER Resource.
Proceedings of the Health Informatics Vision: From Data via Information to Knowledge, 2019
Network Structures and Dynamics Of Early Dementia Events Recorded in Primary Care Electronic Health Records.
Proceedings of the 9th International Conference on Digital Public Health, 2019
2018
On the Accuracy and Scalability of Probabilistic Data Linkage Over the Brazilian 114 Million Cohort.
IEEE J. Biomed. Health Informatics, 2018
Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database.
Int. J. Medical Informatics, 2018
Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data.
CoRR, 2018
2017
Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data.
CoRR, 2017
Methods for enhancing the reproducibility of biomedical research findings using electronic health records.
BioData Min., 2017
A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Evaluating OpenEHR for Storing Computable Representations of Electronic Health Record Phenotyping Algorithms.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Methods for Enhancing the Reproducibility of Observational Research Using Electronic Health Records: Preliminary Findings from the CALIBER Resource.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms.
Proceedings of the AMIA 2017, 2017
Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus.
Proceedings of the AMIA 2017, 2017
2016
A novel framework for assessing metadata quality in epidemiological and public health research settings.
CoRR, 2016
The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining.
BioData Min., 2016
2015
Feasibility and impact of a computerised clinical decision support system on investigation and initial management of new onset chest pain: a mixed methods study.
BMC Medical Informatics Decis. Mak., 2015
Proceedings of the Digital Healthcare Empowering Europeans, 2015
2013
Electronic Health Record Linkages for Translational Cardiovascular Research in Nearly 2 Million People - Clinical Disease Research Using Linked Bespoke Studies and Electronic Records (CALIBER).
Proceedings of the AMIA 2013, 2013
2009
A GO-driven semantic similarity measure for quantifying the biological relatedness of gene products.
Intell. Decis. Technol., 2009
2008
Int. J. Data Min. Bioinform., 2008
2005
Building a Multi-level Database for Efficient Information Retrieval: A Framework Definition.
Proceedings of the IASTED International Conference on Software Engineering, 2005