A machine-learning model for reducing misdiagnosis in heparin-induced thrombocytopenia: a prospective, multicenter, observational study-Reference-Cited by-同舟云学术

A machine-learning model for reducing misdiagnosis in heparin-induced thrombocytopenia: a prospective, multicenter, observational study

Published:2023-01 Issue: Volume:55 Page:101745
ISSN:2589-5370
Container-title:eClinicalMedicine
language:en
Short-container-title:eClinicalMedicine

Author:

Nilius Henning^ORCID,Cuker Adam,Haug Sigve,Nakas Christos,Studt Jan-Dirk,Tsakiris Dimitrios A.,Greinacher Andreas,Mendez Adriana,Schmidt Adrian,Wuillemin Walter A.,Gerber Bernhard,Kremer Hovinga Johanna A.,Vishnu Prakash,Graf Lukas,Kashev Alexander,Sznitman Raphael,Bakchoul Tamam,Nagler Michael^ORCID

Publisher

Elsevier BV

Subject

General Medicine

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1. Machine learning applications in precision medicine: Overcoming challenges and unlocking potential;TrAC Trends in Analytical Chemistry;2024-10

2. Heparin Induced Thrombocytopenia Testing;Clinics in Laboratory Medicine;2024-09

3. Heparin-induzierte Thrombozytopenie (HIT): Ein Update;Trillium Diagnostik;2024-06-20

4. Proteomic profiling for biomarker discovery in heparin-induced thrombocytopenia;Blood Advances;2024-05-31

5. Accuracy of Diagnosing Heparin-Induced Thrombocytopenia;JAMA Network Open;2024-03-26