6 citations · 8 across the 4 of their papers we have counts for
4 papers
Integrating socioeconomic and geographic data to enhance infectious disease prediction in Brazilian cities
Luiza Lober, Kirstin O. Roster, Francisco A. Rodrigues
Supervised machine learning models and public surveillance data has been employed for infectious disease forecasting in many settings. These models leverage various data sources ca…
Forecasting new diseases in low-data settings using transfer learning
Kirstin Roster, Colm Connaughton, Francisco A. Rodrigues
Recent infectious disease outbreaks, such as the COVID-19 pandemic and the Zika epidemic in Brazil, have demonstrated both the importance and difficulty of accurately forecasting n…
EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia
Caroline L. Alves, Aruane M. Pineda, Kirstin Roster +2
Mental disorders are among the leading causes of disability worldwide. The first step in treating these conditions is to obtain an accurate diagnosis, but the absence of establishe…
Neural networks for dengue forecasting: a systematic review
Luiza Lober, Francisco A. Rodrigues, Kirstin Roster
Background: Early forecasts of dengue are an important tool for disease mitigation. Neural networks are powerful predictive models that have made contributions to many areas of pub…