Age prediction using a large chest X-ray dataset
Alexandros Karargyris, Satyananda Kashyap, et al.
SPIE Medical Imaging 2019
The diagnostic workup for many diseases can be extraordinarily nuanced, and as such reference material text often contains extensive information regarding when it is appropriate to have a patient undergo a given procedure. In this work we employ a three task pipeline for the extraction of statements indicating the conditions under which a procedure should be performed, given a suspected diagnosis. First, we identify each instance in the text where a procedure is being recommended. Next we examine the context around these recommendations to extract conditional statements that dictate the conditions under which the recommendation holds. Finally, corefering recommendations across the document are linked to produce a full recommendation summary. Results indicate that each underlying task can be performed with above baseline performance, and the output can be used to produce concise recommendation summaries.
Alexandros Karargyris, Satyananda Kashyap, et al.
SPIE Medical Imaging 2019
Jiacheng Li, Yannis Katsis, et al.
CIKM 2022
Hongzhi Wang, Yu Cao, et al.
ISBI 2015
Tyler Baldwin, Yufan Guo, et al.
AMIA Annual Symposium