A Machine Learning Approach to the Classification of Acute Leukemias and Distinction From Nonneoplastic Cytopenias Using Flow Cytometry Data.

Sara A MonaghanJeng-Lin LiYen-Chun LiuMing-Ya KoMichael BoyiadzisTing-Yu ChangYu-Fen WangChi-Chun LeeSteven Howard SwerdlowBor-Sheng Ko

Published in: American journal of clinical pathology (2021)

Our findings underscore the potential for ML to automatically identify and prioritize FC specimens that have critical results, including APL and other acute leukemias.

Keyphrases

machine learning
flow cytometry
liver failure
respiratory failure
big data
aortic dissection
drug induced
deep learning
artificial intelligence
hepatitis b virus
intensive care unit
climate change
acute respiratory distress syndrome