Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Diana Mincu"'
Autor:
Diana Mincu, Subhrajit Roy
Publikováno v:
Nature Machine Intelligence. 4:916-921
Autor:
Subhrajit Roy, Diana Mincu, Lev Proleev, Chintan Ghate, Jennifer Graves, David Steiner, Fletcher Hartsell, Katherine Heller
Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magnetic resonance imaging (MRI), clinical laboratory tests or clinical history, resulting in subtle changes that may occur between visits being missed. Mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33d9d4f4215e98700ce502dfdb8c45a2
https://doi.org/10.21203/rs.3.rs-2547289/v1
https://doi.org/10.21203/rs.3.rs-2547289/v1
Autor:
Anne Mottram, Jessica Schrouff, Eric Loreaux, Martin G. Seneviratne, Diana Mincu, Nenad Tomasev, Ivan Protsyuk, Shaobo Hou, Alan Karthikesalingam, Sebastien Baur
Publikováno v:
CHIL
Recurrent Neural Networks (RNNs) are often used for sequential modeling of adverse outcomes in electronic health records (EHRs) due to their ability to encode past clinical states. These deep, recurrent architectures have displayed increased performa
Autor:
Alan Karthikesalingam, Eric Loreaux, Alistair Connell, Hugh Montgomery, Jessica Schrouff, Natalie Harris, Anne Mottram, Nenad Tomasev, Martin G. Seneviratne, Subhrajit Roy, Diana Mincu, Yuan Xue, Ivan Protsyuk
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
ObjectiveMultitask learning (MTL) using electronic health records allows concurrent prediction of multiple endpoints. MTL has shown promise in improving model performance and training efficiency; however, it often suffers from negative transfer – i