Dataset Groups Activity Stream CLABSI prediction using random forests The dataset used in this study is a large electronic health record (EHR) dataset containing information on hospital admissions, catheter episodes, and patient outcomes. BibTex: @dataset{Elena_ALBU_and_Shan_GAO_and_Pieter_STIJNEN_and_Frank_RADEMAKERS_and_Christel_JANSSENS_and_Veerle_COSSEY_and_Yves_DEBAVEYE_and_Laure_WYNANTS_and_Ben_VAN_CALSTER_2025, abstract = {The dataset used in this study is a large electronic health record (EHR) dataset containing information on hospital admissions, catheter episodes, and patient outcomes.}, author = {Elena ALBU and Shan GAO and Pieter STIJNEN and Frank RADEMAKERS and Christel JANSSENS and Veerle COSSEY and Yves DEBAVEYE and Laure WYNANTS and Ben VAN CALSTER}, doi = {10.57702/bo4o3g3b}, institution = {No Organization}, keyword = {'CLABSI', 'Electronic Health Records', 'Predictive Modeling', 'Random Forests'}, month = {jan}, publisher = {TIB}, title = {CLABSI prediction using random forests}, url = {https://service.tib.eu/ldmservice/dataset/clabsi-prediction-using-random-forests}, year = {2025} }
