Project name: Artificial intelligence as an instrument for the reduction of infant and youth mortality: understanding its determinants and predicting outcomes / Inteligência artificial para reduzir a mortalidade e identificar os padrões de vida saudável
Project code: AI4Life
Project timeline: 2020 - 2023
Research group: Intelligent Systems
Objective
The digital transformation of the Public Administration is imperative so that the necessary mechanisms can be developed to reduce the number of years of life lost and to increase the quality of life of the population. The main objective of this project is to leverage existing information in public administration databases and others in order to support decision-makers regarding the best response to emerging diseases, better adaptation of public health intervention programs and improve the capacity of the health systems in the future. The data proposed for this work will provide important information in terms of morbidity, sociodemographic and socioeconomic context of the entire Portuguese population, and are available mainly in the following databases: 1 Hospital Morbidity Database (BDMH); 2) Information System of Death Certificates (SICO); 3) National Health Service Information and Monitoring System (SIM@SNS) and Monitoring System of Regional Health Administrations (SIARS), which includes records of follow-up of children in Primary Health Care. In addition, several other important sources of data will be consulted.
