An open‐source, expert‐designed decision tree application to support accurate diagnosis of myeloid malignancies

An open‐source, expert‐designed decision tree application to support accurate diagnosis of myeloid malignancies

Abstract Accurate, reproducible diagnoses can be difficult to make in haemato‐oncology due to multi‐parameter clinical data, complex diagnostic criteria and time‐pressured environments. We have designed a decision tree application (DTA) that reflects WHO diagnostic criteria to support accurate diagn...

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Bibliographic Details
Main Authors: Thomas Coats, Daniel Bean, Theodora Vatopoulou, Dhanapal Vijayavalli, Razan El‐Bashir, Aikaterini Panopoulou, Henry Wood, Manujasri Wimalachandra, Jason Coppell, Patrick Medd, Michelle Furtado, David Tucker, Austin Kulasakeraraj, Joya Pawade, Richard Dobson, Robin Ireland
Format: Article
Language:English
Published: Wiley 2021-05-01
Series:eJHaem
Subjects:
classifications
clinical haematology
diagnostic haematology
myeloid leukaemia
Online Access:https://doi.org/10.1002/jha2.182

Internet

https://doi.org/10.1002/jha2.182

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