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Pbkp_redicting colorectal surgical complications using heterogeneous clinical data and kernel methods
ArticleAbstract: Objective: In this work, we have developed a learning system capable of exploiting information convePalabras claves:clinical decision support, Colorectal cancer, Electronic health records, feature selection, Heterogeneous clinical data, kernel methodsAutores:Augestad K.M., Godtliebsen F., Hindberg K., Jenssen R., Jose Luis Rojo-Álvarez, Lindsetmo R.O., Mora-Jimnez I., Mortensen K., Revhaug A., Skrøvseth S., Soguero-Ruiz C.Fuentes:scopusSupport Vector Feature Selection for Early Detection of Anastomosis Leakage from Bag-of-Words in Electronic Health Records
ArticleAbstract: The free text in electronic health records (EHRs) conveys a huge amount of clinical information abouPalabras claves:Anastomosis leakage (AL), bag-of-words (BoWs), colorectal cancer (CRC), Early Detection, electronic health record (EHR), feature selection (FS), kernel entropy, support vector machine (SVM)Autores:Augestad K.M., Godtliebsen F., Hindberg K., Jenssen R., Jose Luis Rojo-Álvarez, Lindsetmo R.O., Mortensen K., Revhaug A., Skrøvseth S., Soguero-Ruiz C.Fuentes:scopus