5 citations · 8 across the 3 of their papers we have counts for
4 papers · 1 filter
Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP
Veysel Kocaman, Yigit Gul, M. Aytug Kaya +4
Assertion status detection is a critical yet often overlooked component of clinical NLP, essential for accurately attributing extracted medical facts. Past studies have narrowly fo…
Beyond Accuracy: Automated De-Identification of Large Real-World Clinical Text Datasets
Veysel Kocaman, Hasham Ul Haq, David Talby
Recent research advances achieve human-level accuracy for de-identifying free-text clinical notes on research datasets, but gaps remain in reproducing this in large real-world sett…
Understanding COVID-19 News Coverage using Medical NLP
Ali Emre Varol, Veysel Kocaman, Hasham Ul Haq +1
Being a global pandemic, the COVID-19 outbreak received global media attention. In this study, we analyze news publications from CNN and The Guardian - two of the world's most infl…
Mining Adverse Drug Reactions from Unstructured Mediums at Scale
Hasham Ul Haq, Veysel Kocaman, David Talby
Adverse drug reactions / events (ADR/ADE) have a major impact on patient health and health care costs. Detecting ADR's as early as possible and sharing them with regulators, pharma…