Cardiovascular disease management: the need for better diagnostics. - John J. Ricotta; José A. Pagán; Michalis Xenos; Yared Alemu; Shmuel Einav; Danny Bluestein (Medical Biol. Eng. Comput., 2008)

Assessing lifestyle interventions to improve cardiovascular health using an agent-based model. - Yan Li 017; Nan Kong; Mark Lawley; José A. Pagán (WSC, 2014)

Data-driven prognostics using a combination of constrained K-means clustering, fuzzy modeling and LOF-based score. - Alberto Diez-Olivan; José A. Pagán; Ricardo Sanz; Basilio Sierra (Neurocomputing, 2017)

Deep evolutionary modeling of condition monitoring data in marine propulsion systems. - Alberto Diez-Olivan; José A. Pagán; Ricardo Sanz; Basilio Sierra (Soft Comput., 2019)

Baseline Modelling and Composite Representation of Unobtrusively (IoT) Sensed Behaviour Changes Related to Urban Physical Well-Being. - Vladimir Urosevic; Marina Andric; José A. Pagán (ICOST, 2020)

Scaling Up The SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption Across Counties in Georgia: An Agent-Based Model. - Donglan Zhang; Janani J. Thapa; Gang Li; Heejung Son; Zhuo Chen; Lan Mu; Yan Li 017; Junxiu Liu; José A. Pagán; Philippe J. Giabbanelli (ANNSIM, 2021)

Rurality and Origin-Destination Trajectories of Medical School Application and Matriculation in the United States. - Lan Mu; Yusi Liu; Donglan Zhang; Yong Gao 003; Michelle Nuss; Janani Rajbhandari-Thapa; Zhuo Chen; José A. Pagán; Yan Li 017; Gang Li; Heejung Son (ISPRS Int. J. Geo Inf., 2021)

Geographical and Temporal Analysis of Tweets Related to COVID-19 and Cardiovascular Disease in the US. - Xuan Zhang; Lan Mu; Donglan Zhang; Yuping Mao; Lu Shi; Janani Rajbhandari-Thapa; Zhuo Chen; Yan Li 017; José A. Pagán (Ann. GIS, 2022)

Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data. - Jielu Zhang; Lan Mu; Donglan Zhang; Janani Rajbhandari-Thapa; Zhuo Chen; José A. Pagán; Yan Li 017; Heejung Son; Junxiu Liu (ISPRS Int. J. Geo Inf., 2023)

Use of calibration to improve the precision of estimates obtained from All of Us data. - Vivian Hsing-Chun Wang; Julie Holm; José A. Pagán (J. Am. Medical Informatics Assoc., 2024)