CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text
Background Automated summarization of scientific literature and patient records is essential
for enhancing clinical decision-making and facilitating precision medicine. Most existing …
for enhancing clinical decision-making and facilitating precision medicine. Most existing …
Multi-site best practice discovery: from free text to standardized concepts to clinical decisions
This study establishes interoperability among electronic medical records from 800 clinical
sites and uses machine learning for best practice discovery. A novel extraction-mapping …
sites and uses machine learning for best practice discovery. A novel extraction-mapping …
Handling Imbalanced and Poorly Separated Data: a Multi-Stage Multi-Group Machine Learning Approach
Poorly separated data and imbalanced data present major challenges to classifiers which
often result in lower accuracy and reliability in making predictions. In this paper, we …
often result in lower accuracy and reliability in making predictions. In this paper, we …
A General-Purpose Multi-stage Multi-group Machine Learning Framework for Knowledge Discovery and Decision Support
We present a general-purpose multi-stage, multi-group machine learning framework that
incorporates the discriminant analysis via mixed integer programming (DAMIP) classifier …
incorporates the discriminant analysis via mixed integer programming (DAMIP) classifier …
[PDF][PDF] Adopting Integrated Health Information Systems in Intensive Care Units.
CAI Alexandropoulou, IE Panagiotopoulos… - ICT4AWE, 2020 - scitepress.org
Although today's advanced biomedical technology provides unsurpassed power in
diagnosis, monitoring, and treatment, interpretation of vast streams of information generated …
diagnosis, monitoring, and treatment, interpretation of vast streams of information generated …