Using natural language processing to identify acute care patients who lack advance directives, decisional capacity, and surrogate decision makers | PLOS ONE
![10 fold/2 repeat cross validation performance NLP Model 2 without CDISC... | Download Scientific Diagram 10 fold/2 repeat cross validation performance NLP Model 2 without CDISC... | Download Scientific Diagram](https://www.researchgate.net/publication/349103062/figure/fig1/AS:988589450076161@1612709500452/10-fold-2-repeat-cross-validation-performance-NLP-Model-2-without-CDISC-metadata.png)
10 fold/2 repeat cross validation performance NLP Model 2 without CDISC... | Download Scientific Diagram
![37. Using Natural Language Processing Pipeline to Extract Lab Results in Veteran Health Administration's Electronic Health Records | Clinical & Translational Sciences | Washington University in St. Louis 37. Using Natural Language Processing Pipeline to Extract Lab Results in Veteran Health Administration's Electronic Health Records | Clinical & Translational Sciences | Washington University in St. Louis](https://icts.wustl.edu/wp-content/uploads/2023/04/37-Wang-Mei.png)
37. Using Natural Language Processing Pipeline to Extract Lab Results in Veteran Health Administration's Electronic Health Records | Clinical & Translational Sciences | Washington University in St. Louis
![Healthcare | Free Full-Text | Validation of a Natural Language Processing Algorithm for the Extraction of the Sleep Parameters from the Polysomnography Reports Healthcare | Free Full-Text | Validation of a Natural Language Processing Algorithm for the Extraction of the Sleep Parameters from the Polysomnography Reports](https://pub.mdpi-res.com/healthcare/healthcare-10-01837/article_deploy/html/images/healthcare-10-01837-g001.png?1663940108)
Healthcare | Free Full-Text | Validation of a Natural Language Processing Algorithm for the Extraction of the Sleep Parameters from the Polysomnography Reports
![Cohort design and natural language processing to reduce bias in electronic health records research | npj Digital Medicine Cohort design and natural language processing to reduce bias in electronic health records research | npj Digital Medicine](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41746-022-00590-0/MediaObjects/41746_2022_590_Fig1_HTML.png)
Cohort design and natural language processing to reduce bias in electronic health records research | npj Digital Medicine
![Kappa for S*3Learner (10,0.8) and ADASTREAM (usefulness=0.0) on stream... | Download Scientific Diagram Kappa for S*3Learner (10,0.8) and ADASTREAM (usefulness=0.0) on stream... | Download Scientific Diagram](https://www.researchgate.net/publication/278033491/figure/fig5/AS:668233917009946@1536330789969/Kappa-for-S3Learner-10-08-and-ADASTREAM-usefulness00-on-stream-Review-natural.jpg)