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Spiros C. Denaxas
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- affiliation: University College London, Institute of Health Informatics, UK
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2020 – today
- 2024
- [j18]Wei-Qi Wei, Robb Rowley, Angela M. Wood
, Jacqueline Macarthur, Peter J. Embí, Spiros C. Denaxas
Improving reporting standards for phenotyping algorithm in biomedical research: 5 fundamental dimensions. J. Am. Medical Informatics Assoc. 31(4): 1036-1041 (2024) - 2023
- [j17]Musaab Elkheder, Arturo Gonzalez-Izquierdo
Translating and evaluating historic phenotyping algorithms using SNOMED CT. J. Am. Medical Informatics Assoc. 30(2): 222-232 (2023) - [j16]Hoda Abbasizanjani
Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration. BMC Medical Informatics Decis. Mak. 23(1): 8 (2023) - [c16]Andre Vauvelle, Benjamin Wild, Roland Eils, Spiros C. Denaxas:
Differentiable sorting for censored time-to-event data. NeurIPS 2023 - [i7]Andre Vauvelle, Benjamin Wild, Sera Aylin Cakiroglu, Roland Eils, Spiros C. Denaxas:
Diffsurv: Differentiable sorting for censored time-to-event data. CoRR abs/2304.13594 (2023) - 2022
- [j15]Václav Papez, Maxim Moinat, Erica A. Voss
Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond. J. Am. Medical Informatics Assoc. 30(1): 103-111 (2022) - [j14]Andre Vauvelle, Páidí Creed, Spiros C. Denaxas:
Neural-signature methods for structured EHR prediction. BMC Medical Informatics Decis. Mak. 22(1): 320 (2022) - [d1]Robespierre Pita, Clícia Pinto, Marcos E. Barreto, Spiros C. Denaxas:
Example datasets for AtyImo (Spark version). IEEE DataPort, 2022 - [i6]Andre Vauvelle, Hamish Tomlinson, Aaron Sim, Spiros C. Denaxas:
Phenotyping with Positive Unlabelled Learning for Genome-Wide Association Studies. CoRR abs/2202.07451 (2022) - 2021
- [j13]Alvina Grace Lai
An informatics consult approach for generating clinical evidence for treatment decisions. BMC Medical Informatics Decis. Mak. 21(1): 281 (2021) - [j12]Nonie Alexander, Daniel C. Alexander
Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning. BMC Medical Informatics Decis. Mak. 21(1): 343 (2021) - [c15]Spiros C. Denaxas, Ge Liu, QiPing Feng, Ghazaleh Fatemifar, Lisa Bastarache, Vern Eric Kerchberger, Aroon D. Hingorani, R. Tom Lumbers, Josh F. Peterson, Wei-Qi Wei, Harry Hemingway:
Mapping the Read2/CTV3 controlled clinical terminologies to Phecodes in UK Biobank primary care electronic health records: implementation and evaluation. AMIA 2021 - 2020
- [c14]Pere Planell-Morell, Madhavi Bajekal
Trajectories of Disease Accumulation Using Electronic Health Records. MIE 2020: 469-473 - [c13]Nonie Alexander, Daniel C. Alexander
Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records. MIE 2020: 499-503
2010 – 2019
- 2019
- [j11]Anoop D. Shah
Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death. J. Biomed. Semant. 10(1): 20:1-20:10 (2019) - [j10]Spiros C. Denaxas
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. J. Am. Medical Informatics Assoc. 26(12): 1545-1559 (2019) - [j9]Maria Pikoula
Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records. BMC Medical Informatics Decis. Mak. 19(1): 86:1-86:14 (2019) - [j8]Murilo Boratto
Exploring hybrid parallel systems for probabilistic record linkage. J. Supercomput. 75(3): 1137-1149 (2019) - [c12]Maxine Mackintosh, Arturo Gonzalez-Izquierdo
Network Structures and Dynamics Of Early Dementia Events Recorded in Primary Care Electronic Health Records. PDH 2019: 127 - [c11]Spiros C. Denaxas
Phenotyping UK Electronic Health Records from 15 Million Individuals for Precision Medicine: The CALIBER Resource. ICIMTH 2019: 220-223 - [c10]Spiros C. Denaxas, Helen Parkinson, Natalie K. Fitzpatrick, Cathie Sudlow, Harry Hemingway:
Analysing the Heterogeneity of Rule-Based EHR Phenotyping Algorithms in CALIBER and the UK Biobank. KDH@IJCAI 2019: 6-14 - 2018
- [j7]Steve K. Harris
Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database. Int. J. Medical Informatics 112: 82-89 (2018) - [j6]Robespierre Pita
On the Accuracy and Scalability of Probabilistic Data Linkage Over the Brazilian 114 Million Cohort. IEEE J. Biomed. Health Informatics 22(2): 346-353 (2018) - [i5]Spiros C. Denaxas, Pontus Stenetorp, Sebastian Riedel, Maria Pikoula, Richard J. B. Dobson, Harry Hemingway:
Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data. CoRR abs/1811.11005 (2018) - 2017
- [j5]Spiros C. Denaxas
Methods for enhancing the reproducibility of biomedical research findings using electronic health records. BioData Min. 10(1): 31:1-31:19 (2017) - [c9]Zhe He, Arturo Gonzalez-Izquierdo, Spiros C. Denaxas, Andrei Sura, Yi Guo, William R. Hogan, Elizabeth Shenkman, Jiang Bian:
Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus. AMIA 2017 - [c8]Václav Papez, Spiros C. Denaxas, Harry Hemingway:
Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms. AMIA 2017 - [c7]Spiros C. Denaxas
Methods for Enhancing the Reproducibility of Observational Research Using Electronic Health Records: Preliminary Findings from the CALIBER Resource. CBMS 2017: 506-508 - [c6]Václav Papez, Spiros C. Denaxas
Evaluating OpenEHR for Storing Computable Representations of Electronic Health Record Phenotyping Algorithms. CBMS 2017: 509-514 - [c5]Clícia Pinto, Robespierre Pita, George Caique Gouveia Barbosa
Probabilistic Integration of Large Brazilian Socioeconomic and Clinical Databases. CBMS 2017: 515-520 - [c4]Robespierre Pita
A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage. DaWaK 2017: 214-227 - [e1]Zina M. Ibrahim, Honghan Wu, Kerstin Bach, Richard J. B. Dobson, Spiros C. Denaxas, Nirmalie Wiratunga, Stewart Massie, Sadiq Sani:
Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 20, 2017. CEUR Workshop Proceedings 1891, CEUR-WS.org 2017 [contents] - [i4]Henrietta Forssen, Riyaz S. Patel, Natalie K. Fitzpatrick, Aroon D. Hingorani, Adam Timmis, Harry Hemingway, Spiros C. Denaxas:
Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data. CoRR abs/1703.02116 (2017) - [i3]Václav Papez, Spiros C. Denaxas, Harry Hemingway:
Evaluating openEHR for storing computable representations of electronic health record phenotyping algorithms. CoRR abs/1704.08193 (2017) - [i2]Václav Papez, Spiros C. Denaxas, Harry Hemingway:
Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms. CoRR abs/1707.07673 (2017) - 2016
- [j4]Spiros C. Denaxas
The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining. BioData Min. 9: 29 (2016) - [i1]Christiana McMahon, Spiros C. Denaxas:
A novel framework for assessing metadata quality in epidemiological and public health research settings. CoRR abs/1608.06079 (2016) - 2015
- [j3]Rachel Johnson
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. 15: 71 (2015) - [c3]Christiana McMahon
Improving metadata quality assessment in public health and epidemiology. MIE 2015: 939 - 2013
- [c2]Spiros C. Denaxas, Dipak Kalra, Eleni Rapsomaniki, Anoop D. Shah, Mar Pujades Rodriguez, Katherine Morley, Adam Timmis, Emily Herrett, Liam Smeeth, Harry Hemingway:
Electronic Health Record Linkages for Translational Cardiovascular Research in Nearly 2 Million People - Clinical Disease Research Using Linked Bespoke Studies and Electronic Records (CALIBER). AMIA 2013
2000 – 2009
- 2009
- [j2]Spiridon C. Denaxas
A GO-driven semantic similarity measure for quantifying the biological relatedness of gene products. Intell. Decis. Technol. 3(4): 239-248 (2009) - 2008
- [j1]Spiridon C. Denaxas
Scoring and summarising gene product clusters using the Gene Ontology. Int. J. Data Min. Bioinform. 2(3): 216-235 (2008) - 2005
- [c1]Spiridon C. Denaxas, Christos Tjortjis:
Building a Multi-level Database for Efficient Information Retrieval: A Framework Definition. IASTED Conf. on Software Engineering 2005: 282-286
Coauthor Index
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