Coats, Thomas;
Bean, Daniel;
Vatopoulou, Theodora;
Vijayavalli, Dhanapal;
El‐Bashir, Razan;
Panopoulou, Aikaterini;
Wood, Henry;
... Ireland, Robin; + view all
(2021)
An open‐source, expert‐designed decision tree application to support accurate diagnosis of myeloid malignancies.
eJHaem
, 2
(2)
pp. 261-265.
10.1002/jha2.182.
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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 diagnoses of myeloid malignancies. The DTA returned the correct diagnoses in 94% of clinical cases tested. The DTA maintained a high level of accuracy in a second validation using artificially generated clinical cases. Optimisations have been made to the DTA based on the validations, and the revised version is now publicly available for use at http://bit.do/ADAtool.
| Type: | Article |
|---|---|
| Title: | An open‐source, expert‐designed decision tree application to support accurate diagnosis of myeloid malignancies |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/jha2.182 |
| Publisher version: | https://doi.org/10.1002/jha2.182 |
| Language: | English |
| Additional information: | © 2021 The Authors. eJHaem published by British Society for Haematology and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | classifications; clinical haematology; diagnostic haematology; myeloid leukaemia |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10145154 |
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