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2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014(1)
BMJ Open(1)
IEEE Journal of Biomedical and Health Informatics(1)
Journal of Biomedical Informatics(1)
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Medicina y salud(4)
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Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage
Conference ObjectAbstract: We propose a Bootstrap resampling approach for Feature Selection (FS) using the weights obtained byPalabras claves:Autores: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:scopusOutcomes after perioperative SARS-CoV-2 infection in patients with proximal femoral fractures: An international cohort study
ArticleAbstract: Objectives Studies have demonstrated high rates of mortality in people with proximal femoral fracturPalabras claves:covid-19, HIP, trauma managementAutores:Agarwal A., Ahmed I., Alderson D., Alser O.H., Arnaud A.P., Augestad K.M., Bankhad-Kendall B., Benson R.A., Bhangu A., Brar A., Breen K.A., Bretherton C., Caruana E., Chakrabortee S., Chaudhry D., Cunha M.F., Davidson G.H., Dawson B.E., Dhaif F., Di Saverio S., DiSaverio S., Elhadi M., Fiore M., Fitzgerald J.E., Gallo G., Ghosh D., Glasbey J.C., Gomes G.M.A., Gregory L. Peck, Griffiths E., Griffiths E.A., Gujjuri R.R., Halkias C., Harrison E.M., Ines Maria Paredes, Isik A., Jones C.S., Kaafarani H., Kamarajah S.K., Keatley J.M., Lawani I., Lawday S., Lederhuber H., Li E., Lima Buarque I., Loffler M., Loffler M.W., Mahmood A., Marais L., Martin J., Mazingi D., Metallidis S., Metcalfe A., Minaya Bravo A., Minaya-Bravo A.M., Mohan H., Mohan H.M., Moore R., Moug S., Nepogodiev D., Ng-Kamstra J.S., Niquen M., Ntirenganya F., Parsons N., Pata F., Pellino G., Pinkney T.D., Pockney P., Ramos-De La Medina A., Roberts K., Santos I., Schache A., Schnitzbauer A., Shaw R., Siaw-Acheampong K., Soreide K., Spinelli A., Stewart G.D., Søreide K., Tabiri S., Tiwari A., Townend P., Trout I.M., Venn M.L., Ward A.E., Wilkin R.J.W.Fuentes:scopusPbkp_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