Classification algorithms applied to narrative reports

By A. Wilcox, George Hripcsak. 1999

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Zexian Zeng
2. Yu Deng
3. Xiaoyu Li
4. Tristan Naumann
5. Yuan Luo
6. J. Cimino
7. B. Chapman
8. Liang Yao

Citations in the corpus

• Natural Language Processing for EHR-Based Computational Phenotyping (2018, methodology): “[173] tested machine learning algorithms with both expert-selected variables and automati-”
• A Comparison of Classification Algorithms to Automatically Identify Chest X-Ray Reports That Support Pneumonia (2001, methodology): “The radiolwould be the best source e learning technique that derived Gold Standard and structure from data (decision have examined practical aspects A study involving interpretatio quires a gold standard of physici lgorithms to the output of an NLP f clinical conditions [25, 26].”
• Review: From Data to Knowledge through Concept-oriented Terminologies: Experience with the Medical Entities Dictionary (2000, methodology): “At least in the MED’s case, knowledge-based approaches are helping support both these tasks.(44,45)”