Anne Alnor: NLP Uncovers Hidden Cases of Pediatric Catheter-Associated Thrombosis
Anne Alnor, Medical Doctor at Odense University Hospital, shared a post on LinkedIn about a recent article she and her colleagues co-authored, published in Pediatric Blood and Cancer, adding:
“In need of some light back-to-work reading?
Our latest article looks at the use of NLP to identify catheter-associated thrombosis in hospitalised children.
The main point is not merely that NLP can identify cases missed by ICD codes.
NLP makes information buried in clinical notes available for systematic research, opening up questions that are difficult, or sometimes impossible, to study using structured data alone.
This study provides a practical example of both that potential and the work still needed to use these methods in clinical research.”
Title: Beyond ICD-10: Natural Language Processing Identifies Catheter-Associated Thrombosis in Hospitalised Children
Authors: Anne Bryde Alnor, Hedda Hauge Hornes, Martin Sundahl Laursen, Rasmus Bank Lynggaard, Pernille Just Vinholt
Stay updated on all scientific advances with Hemostasis Today.
-
Sep 29, 2026, 12:37Dan Milikovsky: Uncovering Cerebrovascular Injury in Sickle Cell Disease
-
Sep 29, 2026, 12:02Hajra Malik: Bridging Language Gaps in Hematology With AI
-
Sep 29, 2026, 11:57Joan Montaner: Can Blood Test Identify Intracerebral Hemorrhage Within Minutes?
-
Sep 29, 2026, 11:43From Years Without Answers to Life With Hemophilia Care – WFH
-
Sep 29, 2026, 11:32Sara Al Dallal: Transforming Hemophilia Care Across the Gulf
-
Sep 29, 2026, 11:21Richard Davis: Rapid Rescue in Massive Pulmonary Embolism
-
Sep 29, 2026, 11:14Nissan Brown: Every Step Counts for the Hemophilia Community
-
Sep 29, 2026, 11:03Zain Khalpey: SINGLE AF Adds New Evidence to the Anticoagulation Debate
-
Sep 29, 2026, 10:54How Does Haemophilia Affect Motor Development in Infants? – EAHAD