Natural language processing for smart healthcare
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …
intelligence (AI) technologies enable various smart applications across various healthcare …
Diagnostic accuracy of differential-diagnosis lists generated by generative pretrained transformer 3 chatbot for clinical vignettes with common chief complaints: a pilot …
The diagnostic accuracy of differential diagnoses generated by artificial intelligence (AI)
chatbots, including the generative pretrained transformer 3 (GPT-3) chatbot (ChatGPT-3) is …
chatbots, including the generative pretrained transformer 3 (GPT-3) chatbot (ChatGPT-3) is …
Using machine learning to individualize treatment effect estimation: Challenges and opportunities
A Curth, RW Peck, E McKinney… - Clinical …, 2024 - Wiley Online Library
The use of data from randomized clinical trials to justify treatment decisions for real‐world
patients is the current state of the art. It relies on the assumption that average treatment …
patients is the current state of the art. It relies on the assumption that average treatment …
An open-source framework for end-to-end analysis of electronic health record data
With progressive digitalization of healthcare systems worldwide, large-scale collection of
electronic health records (EHRs) has become commonplace. However, an extensible …
electronic health records (EHRs) has become commonplace. However, an extensible …
Write it like you see it: Detectable differences in clinical notes by race lead to differential model recommendations
Clinical notes are becoming an increasingly important data source for machine learning
(ML) applications in healthcare. Prior research has shown that deploying ML models can …
(ML) applications in healthcare. Prior research has shown that deploying ML models can …
Causal data integration
Causal inference is fundamental to empirical scientific discoveries in natural and social
sciences; however, in the process of conducting causal inference, data management …
sciences; however, in the process of conducting causal inference, data management …
Global land drought hubs confounded by teleconnection hotspots in equatorial oceans
Emerging data-driven techniques, such as Complex Networks (CNs), can identify spatial
linkages between droughts on a global scale and can improve early warning systems …
linkages between droughts on a global scale and can improve early warning systems …
[HTML][HTML] Mathematical optimization modelling for group counterfactual explanations
Counterfactual Analysis has shown to be a powerful tool in the burgeoning field of
Explainable Artificial Intelligence. In Supervised Classification, this means associating with …
Explainable Artificial Intelligence. In Supervised Classification, this means associating with …
Challenges in and opportunities for electronic health record-based data analysis and interpretation
MK Kim, C Rouphael, J McMichael, N Welch… - Gut and …, 2023 - pmc.ncbi.nlm.nih.gov
Electronic health records (EHRs) have been increasingly adopted in clinical practices
across the United States, providing a primary source of data for clinical research, particularly …
across the United States, providing a primary source of data for clinical research, particularly …
[HTML][HTML] Practical considerations for developing clinical natural language processing systems for population health management and measurement
S Tamang, M Humbert-Droz… - JMIR Medical …, 2023 - medinform.jmir.org
Experts have noted a concerning gap between clinical natural language processing (NLP)
research and real-world applications, such as clinical decision support. To help address this …
research and real-world applications, such as clinical decision support. To help address this …