[HTML][HTML] The shaky foundations of large language models and foundation models for electronic health records
The success of foundation models such as ChatGPT and AlphaFold has spurred significant
interest in building similar models for electronic medical records (EMRs) to improve patient …
interest in building similar models for electronic medical records (EMRs) to improve patient …
[HTML][HTML] Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
Objective Temporal electronic health records (EHRs) contain a wealth of information for
secondary uses, such as clinical events prediction and chronic disease management …
secondary uses, such as clinical events prediction and chronic disease management …
Graph neural networks: foundation, frontiers and applications
The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …
recent years. Graph neural networks, also known as deep learning on graphs, graph …
[HTML][HTML] A Comprehensive review on AI-enabled models for Parkinson's disease diagnosis
Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …
traditional plasma experiments, necessitating the development of a faster, less expensive …
Quantum machine learning revolution in healthcare: a systematic review of emerging perspectives and applications
U Ullah, B Garcia-Zapirain - IEEE Access, 2024 - ieeexplore.ieee.org
Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …
revolutionary techniques for processing information. It leverages the power of quantum bits …
Time series prediction using deep learning methods in healthcare
Traditional machine learning methods face unique challenges when applied to healthcare
predictive analytics. The high-dimensional nature of healthcare data necessitates labor …
predictive analytics. The high-dimensional nature of healthcare data necessitates labor …
[HTML][HTML] Computational drug repurposing based on electronic health records: a scoping review
Computational drug repurposing methods adapt Artificial intelligence (AI) algorithms for the
discovery of new applications of approved or investigational drugs. Among the …
discovery of new applications of approved or investigational drugs. Among the …
Reviewing the impact of health information technology on healthcare management efficiency
This research paper explores the intricate relationship between Health Information
Technology (HIT) and healthcare management efficiency, investigating current trends …
Technology (HIT) and healthcare management efficiency, investigating current trends …
[HTML][HTML] A multimodal transformer: Fusing clinical notes with structured EHR data for interpretable in-hospital mortality prediction
Deep-learning-based clinical decision support using structured electronic health records
(EHR) has been an active research area for predicting risks of mortality and diseases …
(EHR) has been an active research area for predicting risks of mortality and diseases …
[HTML][HTML] “Note Bloat” impacts deep learning-based NLP models for clinical prediction tasks
One unintended consequence of the Electronic Health Records (EHR) implementation is the
overuse of content-importing technology, such as copy-and-paste, that creates “bloated” …
overuse of content-importing technology, such as copy-and-paste, that creates “bloated” …