Application of Information Technology: Collection of Cancer Stage Data by Classifying Free-text Medical Reports

By Iain McCowan, Darren Moore, Anthony N. Nguyen, R. Bowman, B. Clarke, E. Duhig, M. Fry. 2007

74 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

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. Zexian Zeng
2. Tristan Naumann
3. Xiaoyu Li
4. Yu Deng
5. Anthony N. Nguyen
6. Yuan Luo

In Molecular Biology

1. Zexian Zeng
2. Tristan Naumann
3. Xiaoyu Li
4. Yu Deng
5. Yuan Luo

Citations in the corpus

• Natural Language Processing for EHR-Based Computational Phenotyping (2018, methodology): “nized for their generalizability and are widely used for computational phenotyping [27], [89], [97], [103], [109], [123], [124].”
• Symbolic rule-based classification of lung cancer stages from free-text pathology reports (2010, methodology): “We previously focussed on automating the assignment of TNM stages for lung cancer patients by an analysis of pathology and radiology reports 2 10 using a system (cancer stage interpretation system; CSIS) predicated on the same guidelines used by clinicians in assigning stage based on pathology and…”