Clinical Risk Groups Analysis for Chronic Hypertensive Patients in Terms of ICD9-CM Diagnosis Codes. - Javier Fernández-Sánchez; Cristina Soguero-Ruíz; Pablo de Miguel-Bohoyo; Francisco Javier Rivas-Flores; Ángel Gómez-Delgado; Francisco Javier Gutiérrez-Expósito; Inmaculada Mora-Jiménez (PhyCS, 2017)

On the Use of Decision Trees Based on Diagnosis and Drug Codes for Analyzing Chronic Patients. - Cristina Soguero-Ruíz; Ana Alberca Díaz-Plaza; Pablo de Miguel-Bohoyo; Javier Ramos-López; Manuel Rubio-Sánchez; Alberto Sánchez 001; Inmaculada Mora-Jiménez (IWBBIO (2), 2018)

A Data-Driven Model Based on Support Vector Machine to Identify Chronic Hypertensive and Diabetic Patients. - Cristina Soguero-Ruíz; Pablo de Miguel-Bohoyo; Inmaculada Mora-Jiménez (PhyCS (Selected Papers), 2018)

Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps. - David Chushig-Muzo; Cristina Soguero-Ruíz; Andries P. Engelbrecht; Pablo de Miguel-Bohoyo; Inmaculada Mora-Jiménez (IEEE Access, 2020)

Visually guided classification trees for analyzing chronic patients. - Cristina Soguero-Ruíz; Inmaculada Mora-Jiménez; Miguel A. Mohedano-Munoz; Manuel Rubio-Sánchez; Pablo de Miguel-Bohoyo; Alberto Sánchez 001 (BMC Bioinform., 2020)

Interpreting clinical latent representations using autoencoders and probabilistic models. - David Chushig-Muzo; Cristina Soguero-Ruíz; Pablo de Miguel-Bohoyo; Inmaculada Mora-Jiménez (Artif. Intell. Medicine, 2021)

Learning and visualizing chronic latent representations using electronic health records. - David Chushig-Muzo; Cristina Soguero-Ruíz; Pablo de Miguel-Bohoyo; Inmaculada Mora-Jiménez (BioData Min., 2022)

On the Use of Generative Adversarial Networks to Predict Health Status Among Chronic Patients. - María Teresa Jurado-Camino; David Chushig-Muzo; Cristina Soguero-Ruíz; Pablo de Miguel-Bohoyo; Inmaculada Mora-Jiménez (HEALTHINF, 2023)

Sequential Networks for Predicting the Clinical Risk of Chronic Patients Using Drug Dispensation. - Daniel Hijosa-Guzmán; María Teresa Jurado-Camino; Pablo de Miguel-Bohoyo; Inmaculada Mora-Jiménez (BIOSTEC (2), 2024)