Manuel Campos PhD
Assoc. Professor & Project Leader, Univeristy of Murcia
innovate in visual analytics to interpretate models, data and behaviors for the monitoring and spatiotemporal analysis of outbreaks and infections, including advances in visual control chart to generate early warnings of the progress of infections.
new hybridization techniques of machine learning algorithms for the creation of interpretable models of clinical prediction rules that identify subpopulations with risk of re-admissions and of appearance of MMR.
To create interpretable models, we will work on feature engineering and techniques such as classification by means of interpretable fuzzy rules.
prediction of infections and antibiotic consumption, including visual tools for hypothetical forecasting.
In addition, considering the spatial dimension, we will adapt and extend spatial analysis techniques of graphs and networks to investigate thetemporal and spatial propagation of infections
new multilevel pattern discovery techniques to generate clinical study hypotheses (deepknowledge).
Phenotype / genotype patterns will be obtained from multimodal data from the Electronic Healtcare Record and external bioinformatic and geographic sources.
Multidisciplinary team of researchers from the University of Murcia, Spanish National Center of Epidemiology (CNE), Maribor University, AGH Univ. of Sc. and Technology and the University of Verona.
Years (1-2-3)
Publications
Patents/Copyright
Visits
N Iglesias, JM Juarez, M Campos. Comprehensive analysis of rule formalisms to represent clinical guidelines: Selection criteria and case study on antibiotic clinical guidelines. Artificial intelligence in medicine 103, 101741. 2020.
M Campos, F Jimenez, G Sanchez, JM Juarez, A Morales, B Canovas-Segura, F Palacios. A methodology based on multiple criteria decision analysis for combining antibiotics in empirical therapy. Artificial intelligence in medicine 102, 101751. 2020.
Lorena Pujante, Manuel Campos, Jose M. Juarez, Bernardo Cánovas-Segura, Antonio Morales Nicolás. Graph Databases for Contact Analysis in Infections Using Spatial Temporal Models. IWBBIO : 98-107. 2020
Bernardo Cánovas-Segura, Antonio Morales Nicolás, Antonio López Martínez-Carrasco, Manuel Campos, Jose M. Juarez, Lucía López-Rodríguez, Francisco Palacios: Exploring Antimicrobial Resistance Prediction Using Post-hoc Interpretable Methods. KR4HC/ProHealth/TEAAM@AIME 2019: 93-107
Bernardo Cánovas-Segura, Antonio Morales Nicolás, Jose M. Juarez, Manuel Campos, Francisco Palacios: A lightweight acquisition of expert rules for interoperable clinical decision support systems. Knowl. Based Syst. 167: 98-113. 2019
Bernardo Cánovas-Segura, Antonio Morales Nicolás, Jose M. Juarez, Manuel Campos, Francisco Palacios. Impact of expert knowledge on the detection of patients at risk of antimicrobial therapy failure by clinical decision support systems. J. Biomed. Informatics 94. 2019
∫These are our recent achievements from the academic, scientific and social point of view.
During AIME 2019 international and advisory board members from Univ. of Maribor, AGH Sci ant Tech. Univ. , Zhenxiang Univ. and Univ. of Verona met and discussed the baby steps of the project.
Outreach activity: presentation of research results during the Interhospital Sessions at Reina Sofia Hospital, Murcia.
