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Spiros Denaxas

Showing results (1-10 of 221) with videos related to

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AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 30, 2016
A novel framework for assessing metadata quality in epidemiological and public health research settingsChristiana McMahon, Spiros Denaxas
Informatics for Health & Social Care|November 7, 2017
A novel metadata management model to capture consent for record linkage in longitudinal research studiesChristiana McMahon, Spiros Denaxas
BMC Medical Informatics and Decision Making|December 8, 2022
Neural-signature methods for structured EHR predictionAndre Vauvelle, Paidi Creed, Spiros Denaxas
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 2, 2018
Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping AlgorithmsVáclav Papež, Spiros Denaxas, Harry Hemingway
Trends in Pharmacological Sciences|April 6, 2020
Electronic Health Records to Predict Gestational Diabetes RiskBilal A Mateen, Anna L David, Spiros Denaxas
The British Journal of General Practice : the Journal of the Royal College of General Practitioners|June 12, 2023
Diagnostic windows in non-neoplastic diseases: a systematic reviewEmma Whitfield, Becky White, Spiros Denaxas, et al.
Studies in Health Technology and Informatics|July 3, 2026
Temporal Disease Trajectories Derived from Electronic Health Record Data in Critical Care PatientsYue Zhang, Ana Torralbo, Neil Sebire, et al.
BMC Medical Informatics and Decision Making|December 9, 2021
Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learningNonie Alexander, Daniel C Alexander, Frederik Barkhof, et al.
Studies in Health Technology and Informatics|June 24, 2020
Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health RecordsNonie Alexander, Daniel C Alexander, Frederik Barkhof, et al.
Lancet (London, England)|September 27, 2020
Models for mortality require tailoring in the context of the COVID-19 pandemic - Authors' replyAmitava Banerjee, Laura Pasea, Spiros Denaxas, et al.
Pageof 23

Showing results (1-10 of 221) with videos related to

Sort By:
Pageof 23
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 30, 2016
A novel framework for assessing metadata quality in epidemiological and public health research settingsChristiana McMahon, Spiros Denaxas
Informatics for Health & Social Care|November 7, 2017
A novel metadata management model to capture consent for record linkage in longitudinal research studiesChristiana McMahon, Spiros Denaxas
BMC Medical Informatics and Decision Making|December 8, 2022
Neural-signature methods for structured EHR predictionAndre Vauvelle, Paidi Creed, Spiros Denaxas
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 2, 2018
Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping AlgorithmsVáclav Papež, Spiros Denaxas, Harry Hemingway
Trends in Pharmacological Sciences|April 6, 2020
Electronic Health Records to Predict Gestational Diabetes RiskBilal A Mateen, Anna L David, Spiros Denaxas
The British Journal of General Practice : the Journal of the Royal College of General Practitioners|June 12, 2023
Diagnostic windows in non-neoplastic diseases: a systematic reviewEmma Whitfield, Becky White, Spiros Denaxas, et al.
Studies in Health Technology and Informatics|July 3, 2026
Temporal Disease Trajectories Derived from Electronic Health Record Data in Critical Care PatientsYue Zhang, Ana Torralbo, Neil Sebire, et al.
BMC Medical Informatics and Decision Making|December 9, 2021
Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learningNonie Alexander, Daniel C Alexander, Frederik Barkhof, et al.
Studies in Health Technology and Informatics|June 24, 2020
Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health RecordsNonie Alexander, Daniel C Alexander, Frederik Barkhof, et al.
Lancet (London, England)|September 27, 2020
Models for mortality require tailoring in the context of the COVID-19 pandemic - Authors' replyAmitava Banerjee, Laura Pasea, Spiros Denaxas, et al.
Pageof 23