The prediction of hospital length of stay using unstructured data

BMC Medical Informatics and Decision Making

Stéphane Sanchez¹  David Laplanche¹  Jan Chrusciel¹  François Girardon²  Lucien Roquette²  Antoine Duclos³ 

[1] Pôle Territorial Santé Publique et Performance, Centre Hospitalier de Troyes, 101 Avenue Anatole France CS 10718, 10003, Troyes Cedex, France;Research and Consulting, CODOC SAS, 75008, Paris, France;Research on Healthcare Performance Lab, INSERM U1290 RESHAPE, Université Claude Bernard Lyon 1, Villeurbanne, France;Health Data Department, Hospices Civils de Lyon, Lyon, France;

关键词: Emergency department;    Length of stay;    Data mining;    Health services research;   

DOI  :  10.1186/s12911-021-01722-4

来源: Springer

【 授权许可】

CC BY