%0 Journal Article %1 journals/comcom/GaoXCYL24 %A Gao, Fei %A Xiao, Zhifeng %A Chen, Shuo %A Yu, Richeng %A Li, Xiaorong %D 2024 %J Comput. Commun. %K dblp %P 123-135 %T MedGCN: An IoT-edge thrombus graph convolutional network for accurate prediction and prescription diagnosis of vascular occlusive diseases from unstructured clinical reports. %U http://dblp.uni-trier.de/db/journals/comcom/comcom214.html#GaoXCYL24 %V 214

@article{journals/comcom/GaoXCYL24, added-at = {2024-01-28T00:00:00.000+0100}, author = {Gao, Fei and Xiao, Zhifeng and Chen, Shuo and Yu, Richeng and Li, Xiaorong}, biburl = {https://www.bibsonomy.org/bibtex/2bc5d32d8b46bbf8a0bbfae4aaef5480d/dblp}, ee = {https://doi.org/10.1016/j.comcom.2023.11.001}, interhash = {890b75fc2c604511e6824e144a588ed5}, intrahash = {bc5d32d8b46bbf8a0bbfae4aaef5480d}, journal = {Comput. Commun.}, keywords = {dblp}, month = {January}, pages = {123-135}, timestamp = {2024-04-08T15:12:50.000+0200}, title = {MedGCN: An IoT-edge thrombus graph convolutional network for accurate prediction and prescription diagnosis of vascular occlusive diseases from unstructured clinical reports.}, url = {http://dblp.uni-trier.de/db/journals/comcom/comcom214.html#GaoXCYL24}, volume = 214, year = 2024 }