Yukun Chen

Artificial Intelligence · with Xu · 2011–2014

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Yukun Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Robert J. Carroll
2. Chih-Jen Lin
3. Rong-En Fan
4. Alan R. Aronson
5. Michael Krauthammer
6. Burr Settles

Who trusts Yukun Chen overall

1. Joyce Ho
2. Christopher Kotfila
3. Joydeep Ghosh
4. Zexian Zeng
5. Yichen Wang
6. Ozlem Uzuner
7. Jimeng Sun
8. Yu Deng

Papers from Yukun Chen's perspective

Ordered by how strongly the researchers Yukun Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Random Forests
2. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (Journal of Biomedical Informatics)
3. An overview of MetaMap: historical perspective and recent advances (J. Am. Medical Informatics Assoc.)
4. Naïve Electronic Health Record phenotype identification for Rheumatoid arthritis.
5. Term identification in the biomedical literature (Journal of Biomedical Informatics)
6. ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reports (Journal of Biomedical Informatics)
7. Accuracy of ICD-9-CM Codes for Identifying Cardiovascular and Stroke Risk Factors
8. Gradient-based learning applied to document recognition
9. Support-Vector Networks
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries (2011) — 295 citations
• Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs (2012) — 278 citations
• Medical decision support using machine learning for early detection of late-onset neonatal sepsis (2014) — 186 citations
• Applying active learning to high-throughput phenotyping algorithms for electronic health records data. (2013) — 115 citations
• Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases. (2011) — 99 citations