%0 Journal Article %1 journals/cbm/GaoLCM23 %A Gao, Yutong %A Lewis, Noah %A Calhoun, Vince D. %A Miller, Robyn L. %D 2023 %J Comput. Biol. Medicine %K dblp %P 107005 %T Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment. %U http://dblp.uni-trier.de/db/journals/cbm/cbm161.html#GaoLCM23 %V 161

@article{journals/cbm/GaoLCM23, added-at = {2024-05-07T00:00:00.000+0200}, author = {Gao, Yutong and Lewis, Noah and Calhoun, Vince D. and Miller, Robyn L.}, biburl = {https://www.bibsonomy.org/bibtex/21b6e20467aada0804aaec682ecdf3967/dblp}, ee = {https://doi.org/10.1016/j.compbiomed.2023.107005}, interhash = {277209f975c3be492891ce4f760504b4}, intrahash = {1b6e20467aada0804aaec682ecdf3967}, journal = {Comput. Biol. Medicine}, keywords = {dblp}, month = {July}, pages = 107005, timestamp = {2024-05-13T07:47:31.000+0200}, title = {Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment.}, url = {http://dblp.uni-trier.de/db/journals/cbm/cbm161.html#GaoLCM23}, volume = 161, year = 2023 }