Browsing Investigación y publicaciones by Subject "Machine Learning"

Now showing items 1-2 of 2

    • Investigating symptom duration using current status data: a case study of post-acute COVID-19 syndrome 

      Rotnitzky, Andrea; Wolock, Charles J.; Jacob, Susan; Bennett, Julia C.; Elias-Warren, Anna; O’Hanlon, Jessica; Kenny, Avi; Jewell, Nicholas P.; Weil, Ana A.; Chu, Helen Y.; Carone, Marco (Arxiv, 2024-07-05)
      For infectious diseases, characterizing symptom duration is of clinical and public health importance. Symptom duration may be assessed by surveying infected individuals and querying symptom status at the time of survey ...

    • Learning normal asymmetry representations for homologous brain structures 

      Bendersky, Mariana; Iarussi, Emmanuel; Deangeli, Duilio; Princich, Juan Pablo; Larrabide, Ignacio; Orlando, José Ignacio (Universidad Torcuato Di Tella, 2023)
      Although normal homologous brain structures are approximately symmetrical by definition, they also have shape differences due to e.g. natural ageing. On the other hand, neurodegenerative conditions induce their own changes ...