Forecasting the future clinical events of a patient through contrastive learning
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocac086
Abstract: OBJECTIVE Deep learning models for clinical event forecasting (CEF) based on a patient's medical history have improved significantly over the past decade. However, their transition into practice has been limited, particularly for diseases with very… read more here.
Keywords: number positive; training instances; contrastive learning; forecasting future ... See more keywords
Fast Label Enhancement for Label Distribution Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3092406
Abstract: Label Distribution Learning (LDL) has attracted increasing research attentions due to its potential to address the label ambiguity problem in machine learning and success in many real-world applications. In LDL, it is usually expensive to… read more here.
Keywords: distribution learning; label distributions; training instances; label distribution ... See more keywords