Towards a Recommendation System for patients with kidney problems

Cláudio Gottschalg-Duque

Universidade de Brasilia

Abstract

There are now more than 12 million people in Brazil who suffer from kidney problems. What can these people eat? What can these people drink? Sometimes a simple well-followed diet would prevent the kidneys from deteriorating over the months. This project is part of INOVA HFA, which deals with the use of Blockchain and Artificial Intelligence for (EHR) data.

About the Speaker

Cláudio Gottschalg-Duque is an accomplished academic with a diverse background. He received his bachelor’s degree in Modern Languages (Portuguese and German) from the Faculty of Letters at the Federal University of Minas Gerais in Belo Horizonte, Brazil in 1994. His master’s degree in Psycholinguistics was earned from the Graduate Program in Linguistic Studies at the same university in 1998. Cláudio pursued a Sandwich Ph.D. in Computer Science from the Angewandte Sprachwissenschaft und Computerlinguist - Justus-Liebig-Universitat Giessen in Germany in 2004. He completed his Ph.D. in Information Production and Management from the Graduate Program in Information Science at the School of Information Science, Federal University of Minas Gerais in 2005. In 2013 took a sabbatical in the School of Business Informatics and Mathematics in University of Mannheim (Germany) and in 2019 took a sabbatical in the Blockchain@UBC in the University of British Columbia (Canada). Cláudio is currently a Coordinator of the research group called “Research Expert Group for Intelligent Information in Multimodal Environment using Natural Language Technologies and Ontologies” (R.E.G.I.I.M.E.N.T.O.). He also serves as a Permanent Member of the Graduate Program in Information Science (PGCINF-UNB) in Brasília, Brazil and collaborates with Federal University of Minas Gerais in the Graduate Program in Knowledge Management and Organization. His areas of interest span a wide range: Information Architecture; Information Retrieval; Deep Learning; Blockchain and Natural Language Processing.