%0 Conference Paper %1 conf/iccta2/ShinSCHNO22 %A Shin, Hyunseok %A Shim, Simon %A Choo, Charles %A Hwang, Doosung %A Nah, Yunmook %A Oh, Sejong %B ICCTA %D 2022 %I ACM %K dblp %P 242-248 %T Prediction of Metabolic Syndrome based on Non-invasive Measurement Features for Chronic Disease Management. %U http://dblp.uni-trier.de/db/conf/iccta2/iccta2022.html#ShinSCHNO22 %@ 978-1-4503-9622-6

@inproceedings{conf/iccta2/ShinSCHNO22, added-at = {2023-08-24T00:00:00.000+0200}, author = {Shin, Hyunseok and Shim, Simon and Choo, Charles and Hwang, Doosung and Nah, Yunmook and Oh, Sejong}, biburl = {https://www.bibsonomy.org/bibtex/23309a1e4961173a439e92af27b74a214/dblp}, booktitle = {ICCTA}, crossref = {conf/iccta2/2022}, ee = {https://doi.org/10.1145/3543712.3543734}, interhash = {80fc241182da3735a8ccf78e2564af24}, intrahash = {3309a1e4961173a439e92af27b74a214}, isbn = {978-1-4503-9622-6}, keywords = {dblp}, pages = {242-248}, publisher = {ACM}, timestamp = {2024-04-09T20:13:14.000+0200}, title = {Prediction of Metabolic Syndrome based on Non-invasive Measurement Features for Chronic Disease Management.}, url = {http://dblp.uni-trier.de/db/conf/iccta2/iccta2022.html#ShinSCHNO22}, year = 2022 }