Search research articles
Contact Us
Filters
Showing results (1-10 of 11) with videos related to
Page
of 2
Sort By:
Methods in Molecular Biology (Clifton, N.J.)
|
November 5, 2016
Integrating Bio-ontologies and Controlled Clinical Terminologies: From Base Pairs to Bedside Phenotypes
Spiros C Denaxas
European Heart Journal. Quality of Care & Clinical Outcomes
|
February 24, 2018
Big biomedical data and cardiovascular disease research: opportunities and challenges
Spiros C Denaxas, Katherine I Morley
Biodata Mining
|
October 1, 2016
The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining
Spiros C Denaxas, Folkert W Asselbergs, Jason H Moore
Journal of the American Medical Informatics Association : JAMIA
|
November 26, 2025
Evaluation of trajectory analysis for disease risk assessment: a scoping review
Freya Pollington, Spiros C Denaxas, Kezhi Li, et al.
Studies in Health Technology and Informatics
|
May 23, 2026
An Assessment of Trajectory Analysis for Disease Risk Prediction: A Scoping Review
Freya Pollington, Spiros C Denaxas, Kezhi Li, et al.
Plos One
|
September 1, 2018
Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
Andrew J Steele, Spiros C Denaxas, Anoop D Shah, et al.
Plos One
|
September 6, 2018
Time spent at blood pressure target and the risk of death and cardiovascular diseases
Sheng-Chia Chung, Mar Pujades-Rodriguez, Bram Duyx, et al.
European Heart Journal
|
July 10, 2014
Antipsychotic drugs and risks of myocardial infarction: a self-controlled case series study
Ruth Brauer, Liam Smeeth, Karim Anaya-Izquierdo, et al.
International Journal of Epidemiology
|
December 11, 2012
Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER)
Spiros C Denaxas, Julie George, Emily Herrett, et al.
Plos One
|
November 5, 2014
Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation
Katherine I Morley, Joshua Wallace, Spiros C Denaxas, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Methods in Molecular Biology (Clifton, N.J.)
|
November 5, 2016
Integrating Bio-ontologies and Controlled Clinical Terminologies: From Base Pairs to Bedside Phenotypes
Spiros C Denaxas
European Heart Journal. Quality of Care & Clinical Outcomes
|
February 24, 2018
Big biomedical data and cardiovascular disease research: opportunities and challenges
Spiros C Denaxas, Katherine I Morley
Biodata Mining
|
October 1, 2016
The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining
Spiros C Denaxas, Folkert W Asselbergs, Jason H Moore
Journal of the American Medical Informatics Association : JAMIA
|
November 26, 2025
Evaluation of trajectory analysis for disease risk assessment: a scoping review
Freya Pollington, Spiros C Denaxas, Kezhi Li, et al.
Studies in Health Technology and Informatics
|
May 23, 2026
An Assessment of Trajectory Analysis for Disease Risk Prediction: A Scoping Review
Freya Pollington, Spiros C Denaxas, Kezhi Li, et al.
Plos One
|
September 1, 2018
Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
Andrew J Steele, Spiros C Denaxas, Anoop D Shah, et al.
Plos One
|
September 6, 2018
Time spent at blood pressure target and the risk of death and cardiovascular diseases
Sheng-Chia Chung, Mar Pujades-Rodriguez, Bram Duyx, et al.
European Heart Journal
|
July 10, 2014
Antipsychotic drugs and risks of myocardial infarction: a self-controlled case series study
Ruth Brauer, Liam Smeeth, Karim Anaya-Izquierdo, et al.
International Journal of Epidemiology
|
December 11, 2012
Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER)
Spiros C Denaxas, Julie George, Emily Herrett, et al.
Plos One
|
November 5, 2014
Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation
Katherine I Morley, Joshua Wallace, Spiros C Denaxas, et al.
Page
of 2