Topic 2: Machine learning perspectives in novel fields of bio-medical research
Moderator: Ileana Baldi, Associate Professor of Medical Statistics – University of Padova, IT
Topic Introduction
Andrea Ricotti, Medical Intern , Unit of Epidemiology, Regional Health Service, ASL TO3, IT
Machine learning assisted systematic reviews
Corrado Lanera, Assistant Professor in Medical Statistics – University of Padova, IT
Social Media and other Real World Data for Health-related Research
Graciela Gonzalez-Hernandez, Associate Professor of Informatics – The Perelman School of Medicine, University of Pennsylvania, PA-USA
Targeted learning with applications to causal inference
Rachael Phillips PhD Student in Biostatistics at UC Berkeley School of Public Health – University of California
Floor discussion
Moderator: Ileana Baldi, Associate Professor of Medical Statistics – University of Padova, IT
Topic Introduction
Andrea Ricotti, Medical Intern , Unit of Epidemiology, Regional Health Service, ASL TO3, IT
Machine learning assisted systematic reviews
Corrado Lanera, Assistant Professor in Medical Statistics – University of Padova, IT
Social Media and other Real World Data for Health-related Research
Graciela Gonzalez-Hernandez, Associate Professor of Informatics – The Perelman School of Medicine, University of Pennsylvania, PA-USA
Targeted learning with applications to causal inference
Rachael Phillips PhD Student in Biostatistics at UC Berkeley School of Public Health – University of California
Floor discussion
- Category
- Job
Be the first to comment