Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records.

By S. Lyalina, Bethany Percha, P. LePendu, Srini Iyer, Russ B. Altman, Nigam H. Shah. 2013

59 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology, Social Psychology

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. Sijia Liu
6. Liwei Wang
7. Yuan Luo
8. Sunghwan Sohn

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, background): “matoid arthritis [35], diabetes [36], heart failure [37], [38], neuropsychiatric disorders [39], etc.”
• Clinical Information Extraction Applications: A Literature Review (2017, background): “, drug-resistant pediatric epilepsy [127], severe early-onset childhood obesity [49], non-severe hypoglycemic events [128], and neuropsychiatric disorder [129]).”