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90-Day all-cause mortality can be predicted following a total knee replacement: an international, network study to develop and validate a prediction model

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2022-09, Vol.30 (9), p.3068-3075

2022

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Applying Machine Learning in Distributed Data Networks for Pharmacoepidemiologic and Pharmacovigilance Studies: Opportunities, Challenges, and Considerations

Drug safety, 2022-05, Vol.45 (5), p.493-510

2022

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Attributes for Causal Inference in Electronic Healthcare Databases

SSRN Electronic Journal

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Attributes for causal inference in electronic healthcare databases

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013, p.548-549

2013

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Can machine-learning improve cardiovascular risk prediction using routine clinical data?

PloS one, 2017-04, Vol.12 (4), p.e0174944

2017

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Comparing data-mining algorithms developed for longitudinal observational databases

2012 12th UK Workshop on Computational Intelligence (UKCI), 2012, p.1-8

2012

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Comparing Data-Mining Algorithms Developed for Longitudinal Observational Databases

SSRN Electronic Journal

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Comparing penalization methods for linear models on large observational health data

Journal of the American Medical Informatics Association : JAMIA, 2024-06, Vol.31 (7), p.1514-1521

2024

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Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer

PloS one, 2014-04, Vol.9 (4), p.e95150-e95150

2014

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Comparison of algorithms that detect drug side effects using electronic healthcare databases

Soft computing (Berlin, Germany), 2013-12, Vol.17 (12), p.2381-2397

2013

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Comparison of Algorithms That Detect Drug Side Effects Using Electronic Healthcare Databases

SSRN Electronic Journal

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Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data

Journal of the American Medical Informatics Association : JAMIA, 2018-08, Vol.25 (8), p.969-975

2018

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Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets

Journal of big data, 2021-08, Vol.8 (1), p.1-18, Article 108

2021

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Developing Predictive Models to Determine Patients in End-of-Life Care in Administrative Datasets

Drug safety, 2020-05, Vol.43 (5), p.447-455

2020

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Development and validation of a patient-level model to predict dementia across a network of observational databases

BMC medicine, 2024-07, Vol.22 (1), p.308-12, Article 308

2024

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Development of multivariable models to predict perinatal depression before and after delivery using patient reported survey responses at weeks 4-10 of pregnancy

BMC pregnancy and childbirth, 2022-05, Vol.22 (1), p.442-442, Article 442

2022

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Discovering sequential patterns in a UK general practice database

Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012, p.960-963

2012

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Discovering Sequential Patterns in a UK General Practice Database

SSRN Electronic Journal

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DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models

Nature communications, 2022-03, Vol.13 (1), p.1678-10, Article 1678

2022

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Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?

Studies in health technology and informatics, 2023, Vol.302, p.129

2023

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An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design

BMC medical informatics and decision making, 2021-02, Vol.21 (1), p.43-24, Article 43

2021

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Evaluating the impact of covariate lookback times on performance of patient-level prediction models

BMC medical research methodology, 2021-08, Vol.21 (1), p.1-180, Article 180

2021

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External validation of existing dementia prediction models on observational health data

BMC medical research methodology, 2022-12, Vol.22 (1), p.311-311, Article 311

2022

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Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation

BMC medical research methodology, 2020-05, Vol.20 (1), p.102-102, Article 102

2020

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90-Day all-cause mortality can be predicted following a total knee replacement: an international, network study to develop and validate a prediction model

Applying Machine Learning in Distributed Data Networks for Pharmacoepidemiologic and Pharmacovigilance Studies: Opportunities, Challenges, and Considerations

Attributes for Causal Inference in Electronic Healthcare Databases

Attributes for causal inference in electronic healthcare databases

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

Comparing data-mining algorithms developed for longitudinal observational databases

Comparing Data-Mining Algorithms Developed for Longitudinal Observational Databases

Comparing penalization methods for linear models on large observational health data

Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer

Comparison of algorithms that detect drug side effects using electronic healthcare databases

Comparison of Algorithms That Detect Drug Side Effects Using Electronic Healthcare Databases

Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data

Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets

Developing Predictive Models to Determine Patients in End-of-Life Care in Administrative Datasets

Development and validation of a patient-level model to predict dementia across a network of observational databases

Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network

Development of multivariable models to predict perinatal depression before and after delivery using patient reported survey responses at weeks 4-10 of pregnancy

Discovering sequential patterns in a UK general practice database

Discovering Sequential Patterns in a UK General Practice Database

DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models

Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?

An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design

Evaluating the impact of covariate lookback times on performance of patient-level prediction models

External validation of existing dementia prediction models on observational health data

Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation

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