Research and Development of Novel Healthcare Technologies in Mexico

Our mission is the development of research in the areas of knowledge engineering, natural language processing and artificial intelligence, with the purpose of generating new methodological approaches for the construction of knowledge graphs in the medical domain. We also seek to contribute with the development of methods and techniques that involve natural language processing approaches and machine learning trends, aiming at transforming data as unstructured texts into knowledge graphs, support question-answering applications, and information retrieval.

It is known that Mexico faces great challenges in terms of public health care, among the diseases that most affect the population are diabetes, cancer, hypertension, obesity, heart disease, among many others. This, together with the economic difficulties and the technological limitations of the population, make public universities reorient their research and technological development efforts with the purpose of reducing the gap between the technological deficiencies of public health institutions and the population.

The Institututo Nacional de Salud Pública (INSP) in México points out that diabetes mellitus is one of the main health problems in Mexico, since more than 74,000 people die every year due to diabetes and its complications. On the other hand, the INSP points out overweight and obesity as health problems precursors of diabetes; In Mexico, 68% of the population over 20 years of age is overweight and obese. These two factors constitute a serious risk for developing diabetes, a condition that remains the second leading cause of death nationwide.

Our research group is focused on the development and adaptation of novel metods and techniques derived from research areas such as knowledge engineering, natural language processing and artificial intelligence; to apply them in the development of applications for the health care of Mexicans. Considering specifically the difficulties of communication, connection to networks and difficulties for the use of mobile devices.

• Maricela Bravo
• José Alejandro Reyes Ortiz
• Leonardo Daniel Sánchez Martínez
• Beatriz Adriana González Beltrán

About the content...

In this page we describe and publish the developed technological resources or products generated. In particular, the knowledge graphs related to specific research topics that are developed together with postgraduate and computer engineering students.