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IVACE
Big Data and Artificial Intelligence for healthcare system optimization
IVACE
The main objective of this project is to deepen the research of Big Data and Artificial Intelligence techniques, mainly Machine Learning and Deep Learning, for the improvement of diagnosis and prognosis techniques for chronic diseases and cancer. At the same time, these technologies will make it possible to optimize processes to reduce time and healthcare costs, thus contributing to the sustainability of healthcare systems in Europe. The project combines data sets from various sources to build predictive models as a clinical and hospital decision support system. The data sources used as a basis are, among others: medical history, genomic information, medical images, pharmacy, lifestyle habits, etc.
The project is aimed at optimizing disease management through research in software techniques based on Machine Learning in order to assist clinical staff in the decision-making process, enabling better diagnosis and prognosis of diseases and a more personalized and effective treatment of patients.
The main objective of this project is to deepen the research of Big Data and Artificial Intelligence techniques, mainly Machine Learning and Deep Learning, for the improvement of diagnosis and prognosis techniques for chronic diseases and cancer. At the same time, these technologies will make it possible to optimize processes to reduce time and healthcare costs, thus contributing to the sustainability of healthcare systems in Europe. The project combines data sets from various sources to build predictive models as a clinical and hospital decision support system. The data sources used as a basis are, among others: medical history, genomic information, medical images, pharmacy, lifestyle habits, etc.
The project is aimed at optimizing disease management through research in software techniques based on Machine Learning in order to assist clinical staff in the decision-making process, enabling better diagnosis and prognosis of diseases and a more personalized and effective treatment of patients.