Machine learning applications in preventive healthcare: A systematic literature review on predictive analytics of disease comorbidity from multiple perspectives
XU Duo, XU Zeshui - Artificial Intelligence in Medicine, 2024 - Elsevier
Artificial intelligence is constantly revolutionizing biomedical research and healthcare
management. Disease comorbidity is a major threat to the quality of life for susceptible …
management. Disease comorbidity is a major threat to the quality of life for susceptible …
Stock price analysis and prediction using seq2seq lstm
A Dash, A Singh, A Jain, A Shukla, H Mishra… - … Conference on Data …, 2023 - Springer
Stocks are typically linked with companies that have commercialized operations and are
establishing themselves in the business world. They can also be described as shares, a …
establishing themselves in the business world. They can also be described as shares, a …
Deep convolutional neural network based medical concept normalization
Medical concept normalization is a critical problem in biomedical research and clinical
applications. In this article, we focus on normalizing diagnostic and operation names in …
applications. In this article, we focus on normalizing diagnostic and operation names in …
A Multi-Task Learning Framework for Chinese Medical Procedure Entity Normalization
Medical entity normalization is a fundamental task in medical natural language processing
and clinical applications. The task aims to map medical mentions to standard entities in a …
and clinical applications. The task aims to map medical mentions to standard entities in a …
PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text
Backgrounds Knowledge discovery from breast cancer treatment records has promoted
downstream clinical studies such as careflow mining and therapy analysis. However, the …
downstream clinical studies such as careflow mining and therapy analysis. However, the …