%0 Journal Article %1 qiu2022interpretable %A Qiu, Wei %A Chen, Hugh %A Dincer, Ayse Berceste %A Lundberg, Scott %A Kaeberlein, Matt %A Lee, Su-In %D 2022 %I Cold Spring Harbor Laboratory Press %J medRxiv %K fuelln interpretable machine learning ml supervised distance collaboration citedby:scholar:count:3 citedby:scholar:timestamp:2022-11-30 %P 2021--01 %T Interpretable machine learning prediction of all-cause mortality

@article{qiu2022interpretable, added-at = {2022-11-30T14:09:08.000+0100}, author = {Qiu, Wei and Chen, Hugh and Dincer, Ayse Berceste and Lundberg, Scott and Kaeberlein, Matt and Lee, Su-In}, biburl = {https://www.bibsonomy.org/bibtex/2c93a266a05e68d47cd0b9e124faab670/becker}, interhash = {a813f68e92efdc365424a58f5b0de246}, intrahash = {c93a266a05e68d47cd0b9e124faab670}, journal = {medRxiv}, keywords = {fuelln interpretable machine learning ml supervised distance collaboration citedby:scholar:count:3 citedby:scholar:timestamp:2022-11-30}, pages = {2021--01}, publisher = {Cold Spring Harbor Laboratory Press}, timestamp = {2022-11-30T14:09:08.000+0100}, title = {Interpretable machine learning prediction of all-cause mortality}, year = 2022 }