Automated prediction of acute promyelocytic leukemia from flow cytometry data using a graph neural network pipeline.

Andrew M CoxDaehwan KimRolando GarcíaFranklin S FudaOlga K WeinbergWeina Chen

Published in: American journal of clinical pathology (2023)

Our ML pipeline shows robust performance on predicting APL and could be used to screen for APL using MFC data. It also allowed for intuitive interrogation of the model's predictions by clinicians.

Keyphrases

neural network
flow cytometry
electronic health record
high throughput
big data
liver failure
bone marrow
acute myeloid leukemia
deep learning
respiratory failure
convolutional neural network
data analysis
hepatitis b virus
single cell