Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage. - Cristina Soguero-Ruíz; Kristian Hindberg; José Luis Rojo-Álvarez; Stein Olav Skrøvseth; Fred Godtliebsen; Kim Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Inmaculada Mora-Jiménez; Knut Magne Augestad; Robert Jenssen (BHI, 2014)

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods. - Cristina Soguero-Ruíz; Kristian Hindberg; Inmaculada Mora-Jiménez; José Luis Rojo-Álvarez; Stein Olav Skrøvseth; Fred Godtliebsen; Kim Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Knut Magne Augestad; Robert Jenssen (J. Biomed. Informatics, 2016)

Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records. - Cristina Soguero-Ruíz; Kristian Hindberg; José Luis Rojo-Álvarez; Stein Olav Skrøvseth; Fred Godtliebsen; Kim Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Knut Magne Augestad; Robert Jenssen (IEEE J. Biomed. Health Informatics, 2016)

Using anchors from free text in electronic health records to diagnose postoperative delirium. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Kasper Jensen; Kristian Hindberg; Mads Gran; Arthur Revhaug; Rolv-Ole Lindsetmo; Stein Olav Skrøvseth; Fred Godtliebsen; Robert Jenssen (Comput. Methods Programs Biomed., 2017)

An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Filippo Maria Bianchi; Arthur Revhaug; Robert Jenssen (CoRR, 2018)

Time series cluster kernels to exploit informative missingness and incomplete label information. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Filippo Maria Bianchi; Arthur Revhaug; Robert Jenssen (Pattern Recognit., 2021)

Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. - Kristoffer Wickstrøm; Karl Øyvind Mikalsen; Michael Kampffmeyer; Arthur Revhaug; Robert Jenssen (IEEE J. Biomed. Health Informatics, 2021)

Clinically Relevant Features for Predicting the Severity of Surgical Site Infections. - Ahcène Boubekki; Jonas Nordhaug Myhre; Luigi Tommaso Luppino; Karl Øyvind Mikalsen; Arthur Revhaug; Robert Jenssen (IEEE J. Biomed. Health Informatics, 2022)