Luis H. John

Clinical semantics for lung cancer prediction

Luis H. John, Jan A. Kors, Jenna Reps, Peter R. Rijnbeek et autres

Background: Existing clinical prediction models often represent patient data using features that ignore the semantic relationships between clinical concepts. This study integrates domain-specific semantic information by mapping the SNOMED medical term hierarchy into a low-dimensional hyperbolic space using Poincaré embeddings, with the …

Implementation and Updating of Clinical Prediction Models: A Systematic Review

Alexander Saelmans, Tom M Seinen, Victor Pera, Aniek F. Markus et autres

Objective: To summarize the implementation approaches and updating methods of clinically implemented models and consecutively advise researchers on the implementation and updating. Patients and Methods: We included studies describing the implementation of prognostic binary prediction models in a clinical setting. We retrieved …

nl, us (code pays fourni par la source)

Finding a constrained number of predictor phenotypes for multiple outcome prediction

Jenna Reps, Jenna Wong, Egill Axfjord Fridgeirsson, Chungsoo Kim et autres

BACKGROUND: Prognostic models help aid medical decision-making. Various prognostic models are available via websites such as MDCalc, but these models typically predict one outcome, for example, stroke risk. Each model requires individual predictors, for example, age, lab results and comorbidities. There is …

us, nl (code pays fourni par la source)

Comparison of deep learning and conventional methods for disease onset prediction

Luis H. John, Chungsoo Kim, Jan A. Kors, Junhyuk Chang et autres

Background: Conventional prediction methods such as logistic regression and gradient boosting have been widely utilized for disease onset prediction for their reliability and interpretability. Deep learning methods promise enhanced prediction performance by extracting complex patterns from clinical data, but face challenges like …

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

Luis H. John, Egill Axfjord Fridgeirsson, Jan A. Kors, Jenna Reps et autres

BACKGROUND: A prediction model can be a useful tool to quantify the risk of a patient developing dementia in the next years and take risk-factor-targeted intervention. Numerous dementia prediction models have been developed, but few have been externally validated, likely limiting their …

nl, us (code pays fourni par la source)

Finding a Constrained Number of Predictor Phenotypes for Multiple Outcome Prediction

Jenna Reps, Jenna Wong, Egill Axfjord Fridgeirsson, Chungsoo Kim et autres

be, us, nl, kr (code pays fourni par la source)

Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort study

Erica A. Voss, Azza Shoaibi, Lana Yin Hui Lai, Clair Blacketer et autres

Background: Adverse events of special interest (AESIs) were pre-specified to be monitored for the COVID-19 vaccines. Some AESIs are not only associated with the vaccines, but with COVID-19. Our aim was to characterise the incidence rates of AESIs following SARS-CoV-2 infection in …

us, nl, gb, es, sa, tr, co, cz, fr, dk, se, ee, ca, pl (code pays fourni par la source)

Impact of European Union Label Changes for Fluoroquinolone-Containing Medicinal Products for Systemic and Inhalation Use: Post-Referral Prescribing Trends

Nelly Francoise Ly, Clare Flach, Thom S. Lysen, Emanuil Markov et autres

gb, nl, es, us (code pays fourni par la source)

External validation of existing dementia prediction models on observational health data

Luis H. John, Jan A. Kors, Egill Axfjord Fridgeirsson, Jenna Reps et autres

BACKGROUND: Many dementia prediction models have been developed, but only few have been externally validated, which hinders clinical uptake and may pose a risk if models are applied to actual patients regardless. Externally validating an existing prediction model is a difficult task, …

nl, us (code pays fourni par la source)

Comparative risk of thrombosis with thrombocytopenia syndrome or thromboembolic events associated with different covid-19 vaccines: international network cohort study from five European countries and the US

Xintong Li, Edward Burn, Talita Duarte‐Salles, Can Yin et autres

OBJECTIVE: To quantify the comparative risk of thrombosis with thrombocytopenia syndrome or thromboembolic events associated with use of adenovirus based covid-19 vaccines versus mRNA based covid-19 vaccines. DESIGN: International network cohort study. SETTING: Routinely collected health data from contributing datasets in France, …

gb, es, us, nl (code pays fourni par la source)

EHDEN - D3.8 - Final Report Pipeline

Ross D. Williams, Peter R. Rijnbeek, Alexandros Rekkas, Luis H. John et autres

The goal of WP3 “Personalized Medicine” is to establish a standardized process to enable personalized decision-making that can be utilized for multiple outcomes of interest and can be applied to observational healthcare data from any patient subpopulation. In the first report (D3.2) …

External validation of existing dementia prediction models on observational health data

Luis H. John, Jan A. Kors, Egill Axfjord Fridgeirsson, Jenna Reps et autres

Abstract BackgroundMany dementia prediction models have been developed, but only few have been externally validated, which hinders clinical uptake and may pose a risk if models are applied to actual patients regardless. Replicating and externally validating a prediction model is a difficult …

nl, be (code pays fourni par la source)