Machine Learning applied to healthcare data

Juan Carlos Trujillo presents a Machine Learning-based model capable of predicting deaths and patients at risk of SARS-COV-2 at the VII Meeting of ISABIAL Researchers.

Our director, Juan Carlos Trujillo, has participated this Friday, November 25, in the “V Clinical Research Day of the Department of Health of Alicante – General Hospital and VII Meeting of Researchers of the Institute of Health and Biomedical Research of Alicante”, organized by ISABIAL.

This day has had different blocks of presentations, among which we highlight the group “Research in Rheumatic and Autoimmune Diseases”, where Trujillo has intervened with the presentation of the publication “Machine learning model from a Spanish cohort for prediction of SARS-COV-2 mortality risk and critical patients”. The director of Lucentia is the author of this research together with three other researchers from the group, Alejandro Reina, Alejandro Maté and José M. Barrera. In addition, the study also involved the director of quality and planning of the Department of Health of the Hospital La Fe, Bernardo Valdivieso, and the researcher of the Health Research Institute of the Hospital La Fe, María-Eugenia Gas.

The five researchers’ inquiry into which #SARS-COV-2 infected patients needed the most intensive care and who would not be able to overcome the disease led to the development of a #model, based on #machinelearning techniques. It is able to predict the probability of death of #SARS-COV-2 infected patients according to sex, age and comorbidities. Likewise, this #model is able to predict which comorbidities each patient may develop, allowing a what-if analysis.

Similarly, Trujillo wanted to highlight the conclusions reached with this research, which can be summarized as follows:

• It is one of the studies with the most data on the first variant.
• Effects may change at any time due to the appearance of vaccines and/or new variants of the virus
• The #BigData and #artificialintelligence together will allow us to offer solutions that help physicians to make decisions based on quantitative data and, above all, will help us to predict diseases.

Finally, we emphasize that Trujillo’s participation in this meeting has been possible thanks to his membership, along with other members of Lucentia, to the Institute for Health and Biomedical Research of Alicante (ISABIAL).

Research partially funded by the projects Big data and Artificial Intelligence to improve the diagnosis of those affected by COVID-19 of the Generalitat Valenciana, #Aether-UA of the Ministry of Science and Innovation and, #Balladeer (PROMETEO/2021/088) within the Prometeo program of the Consellería de Innovación, Universidades, Ciencia y Sociedad Digital of the Generalitat Valenciana.