Symbolic rule-based classification of lung cancer stages from free-text pathology reports

By Anthony N. Nguyen, Michael Lawley, David P. Hansen, R. Bowman, B. Clarke, E. Duhig, Shoni Colquist. 2010

163 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology, Pulmonary and Respiratory Medicine

How researchers see this paper

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

In Artificial Intelligence

1. Xiaoqian Jiang
2. Zexian Zeng
3. Hwanjo Yu
4. Yuan Luo
5. Tristan Naumann
6. Xiaoyu Li
7. Yu Deng
8. Jimeng Sun

In Molecular Biology

1. Zexian Zeng
2. Tristan Naumann
3. Xiaoyu Li
4. Yu Deng
5. Yuan Luo
6. Hwanjo Yu
7. Jimeng Sun
8. Xiaoqian Jiang

Citations in the corpus

• Natural Language Processing for EHR-Based Computational Phenotyping (2018, methodology): “[40] NegEx, section heading MEDTEX Narrative Concepts related to lung cancer resections (based on the AJCC 6th edition) were used Ni et al.”
• Discriminative and Distinct Phenotyping by Constrained Tensor Factorization (2017, background): “− f f A A A A max(0, ( ) ( )) (6) i i i i : : 2 : 1 :”