Yaoyun Zhang

Lightweight predicate extraction for patient-level cancer information and ontology development

2017 · BMC Medical Informatics and Decision Making

BACKGROUND: Knowledge engineering for ontological knowledgebases is resource and time intensive. To alleviate these issues, especially for novices, automated tools from the natural language domain can assist in the development process of ontologies. We focus …

Leveraging existing corpora for de-identification of psychiatric notes using domain adaptation.

2017 · PubMed

De-identification of clinical notes is a special case of named entity recognition. Supervised machine-learning (ML) algorithms have achieved promising results for this task. However, ML-based de-identification systems often require annotating a large number of clinical …

Natural Language Processing Applied to Psychiatric Clinical Notes: Scoping Review

2026 · JMIR Medical Informatics

Background: Psychiatric clinical notes in electronic health records (EHRs) provide rich longitudinal information that can support clinical decision-making. Using historical medical data can enable earlier identification of mental illness, better characterization of disease trajectories, and …

Clinical Abbreviation Disambiguation Using Neural Word Embeddings

2015

This study examined the use of neural word embeddings for clinical abbreviation disambiguation, a special case of word sense disambiguation (WSD). We investigated three different methods for deriving word embeddings from a large unlabeled clinical …