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...

詳細記述

書誌詳細
主要な著者: 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
フォーマット: 論文
言語:English
出版事項: Wiley 2021-05-01
シリーズ:eJHaem
主題:
classifications
clinical haematology
diagnostic haematology
myeloid leukaemia
オンライン･アクセス:https://doi.org/10.1002/jha2.182

インターネット

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

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