Article ; Online: An open-source, expert-designed decision tree application to support accurate diagnosis of myeloid malignancies.
EJHaem
2021 Volume 2, Issue 2, Page(s) 261–265
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 ... ...
| 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. |
|---|---|
| Language | English |
| Publishing date | 2021-03-26 |
| Publishing country | United States |
| Document type | Journal Article |
| ISSN | 2688-6146 |
| ISSN (online) | 2688-6146 |
| DOI | 10.1002/jha2.182 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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