Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record

By Chen Lin, Elizabeth W. Karlson, Dmitriy Dligach, M. Ramirez, Timothy Miller, Huan Mo, Natalie S. Braggs, A. Cagan, Vivian S. Gainer, Joshua Charles Denny and 1 more. 2015

73 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology, Rheumatology

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. Yuan Luo

In Molecular Biology

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

In Rheumatology

1. Zexian Zeng

Citations in the corpus

• Natural Language Processing for EHR-Based Computational Phenotyping (2018, methodology): “One of themost important applications of computational phenotyping is diagnosis categorization, which enables the automated and efficient identification of patient cohorts for secondary analysis [15], [27], [28], [29], [30], [31].”