Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis
Titel:
Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis
Auteur:
Maddali, Manoj V Churpek, Matthew Pham, Tai Rezoagli, Emanuele Zhuo, Hanjing Zhao, Wendi He, June Delucchi, Kevin L Wang, Chunxue Wickersham, Nancy McNeil, J Brennan Jauregui, Alejandra Ke, Serena Vessel, Kathryn Gomez, Antonio Hendrickson, Carolyn M Kangelaris, Kirsten N Sarma, Aartik Leligdowicz, Aleksandra Liu, Kathleen D Matthay, Michael A Ware, Lorraine B Laffey, John G Bellani, Giacomo Calfee, Carolyn S Sinha, Pratik