A Masked language model for multi-source EHR trajectories contextual representation learning Har passerat
Onsdag 24 maj 2023 11:30 - 11:35 G3
Föreläsare: Ali Amirahmadi, Kobra Etminani
Spår: MIE: Decision support
Språk
English
Seminarietyp
Enbart på plats
Kunskapsnivå
Avancerad
Konferens
MIE
Författare
Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani, Olle Melander, Jonas Björk
Föreläsare
Ali Amirahmadi Föreläsare
PhD student
Högskolan i Halmstad
Masked language models for multi-source EHR trajectories contextual representation learning
Kobra Etminani Föreläsare
Associate Professor, Docent
Center for Applied Intelligent Systems Research (CAISR) in Health, Halmstad University
Kobra (Farzaneh) Etminani is an associate Professor, Docent, working at the Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Sweden. She is Deputy Profile Manager for CAISR Health, a Swedish funded research profile. She is also part of the extended management group for Information Driven Care research program (IDC) at Halmstad University.
She manages the Real-World Evidence (RWE) research projects together with Health Data Center (HDC), that includes several research projects together with Region Halland (a regional Swedish healthcare system), analytics companies, and big Pharma.
She has worked on various topics and application areas within Machine Learning (ML), Artificial Intelligence (AI), Data Mining, and Deep Learning (DL) in the last decade, focused on healthcare, district heating, and mobility. Her main research interest is focused on solving real-world problems, which is focused on a healthier society, with the help of AI and ML, if possible and applicable. Her recent research focus is on patient trajectories and eXplainable AI (XAI) in precision healthcare