Deep embedded clustering generalisability and adaptation for integrating mixed datatypes: two critical care cohorts

Abstract We validated a Deep Embedded Clustering (DEC) model and its adaptation for integrating mixed datatypes (in this study, numerical and categorical variables). Deep Embedded Clustering (DEC) is a promising technique capable of managing extensive sets of variables and non-linear relationships....

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出版年:	Scientific Reports
主要な著者:	Jip W. T. M. de Kok, Frank van Rosmalen, Jacqueline Koeze, Frederik Keus, Sander M. J. van Kuijk, José Castela Forte, Ronny M. Schnabel, Rob G. H. Driessen, Thijs T. W. van Herpt, Jan-Willem E. M. Sels, Dennis C. J. J. Bergmans, Chris P. H. Lexis, William P. T. M. van Doorn, Steven J. R. Meex, Minnan Xu, Xavier Borrat, Rachel Cavill, Iwan C. C. van der Horst, Bas C. T. van Bussel
フォーマット:	論文
言語:	英語
出版事項:	Nature Portfolio 2024-01-01
オンライン･アクセス:	https://doi.org/10.1038/s41598-024-51699-z