Dae-Jin Lee

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Assistant Professor

IE University

Spain

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About

Dae-Jin Lee is an Assistant Professor at IE University in Spain. His research areas include modeling and optimization in healthcare, pedestrian dynamics simulations, and the application of machine learning methods in medical predictions. His recent publications address topics such as forecast accuracy during COVID-19, ambulance location optimization, and the impact of training load on sports injuries.

Recent Grants

Grant: Close

New proposals for estimation, prediction and validation of semi-parametric models for the analysis of complex data with applications in Health and Climate Change

Open Date: 2021-09-01

Close Date: 2024-08-01

Grant: Close

New contributions in semiparametric regression and applications in agricultural field trials, epidemiological risks assessment and marine ecology

Open Date: 2018-01-01

Close Date: 2020-12-01

Grant: Close

Concurso de Atracción de Capital Humano Avanzado del Extranjero, Modalidad Estadías Cortas, MEC

Open Date: 2018-01-01

Close Date: 2019-02-01

Grant: Close

Obesity, global epidemic: Molecular characterization and dynamic parameters for the development of personalized diagnostic and therapeutic strategies.

Open Date: 2016-07-01

Close Date: 2016-12-01

Grant: Close

BID3ABI - Big Data para RIS3

Open Date: 2016-04-01

Close Date: 2016-12-01

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Collaborators (5)

Inmaculada Arostegui

SPAIN

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María Merino Maestre

University of the Basque Country

SPAIN

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Joaquín Martínez-Minaya

Assistant professor

Universitat Politècnica de València

SPAIN

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Andreas Bender

Postdoctoral Lecturer and Research Associate

Ludwig-Maximilians-Universität München

GERMANY

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Cristina Alonso

Services Manager & Head of the Data Processing Department

Rubió Metabolomics

SPAIN

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Dae-Jin Lee

Research Interests

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About

Recent Grants

Articles (22)

Evaluating short-term forecast accuracy across COVID-19 waves using penalized spline models

Hierarchical compromise optimization of ambulance locations under stochastic travel times

Modelling in-hospital length of stay: A comparison of linear and ensemble models for competing risk analysis

On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations

Flexible modelling of time-varying exposures and recurrent events to analyse training load effects in team sports injuries

Cost-Sensitive Ordinal Classification Methods to Predict SARS-CoV-2 Pneumonia Severity

Genetic algorithms applied to translational strategy in metabolic-dysfunction associated steatohepatitis (MASH). Learning from mouse models

Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods

Cost-sensitive ordinal classification methods to predict SARS-CoV-2 pneumonia severity

A Bimodal Extension of the Beta-Binomial Distribution with Applications

Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality

Analysis of local density during football stadium access: Integrating pedestrian flow simulations and empirical data

Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques

Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia

Derivative curve estimation in longitudinal studies using P-splines

Classification of longitudinal profiles using semi‐parametric nonlinear mixed models with P‐Splines and the SAEM algorithm

Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks

Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models

Limited visual range in the Social Force Model: Effects on macroscopic and microscopic dynamics

Peak Height Velocity Affects Injury Burden in Circa-PHV Soccer Players.

Multidimensional adaptive P‐splines with application to neurons' activity studies

Modeling latent spatio-temporal disease incidence using penalized composite link models

Collaborators (5)

Inmaculada Arostegui

María Merino Maestre

Joaquín Martínez-Minaya

Andreas Bender

Cristina Alonso

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