Kocbek, Primoz; Fijacko, Nino; Soguero-Ruiz, Cristina; Mikalsen, Karl Øyvind; Maver, Uros; Brzan, Petra Povalej; Stozer, Andraz; Jenssen, Robert; Skrøvseth, Stein Olav; Stiglic, Gregor (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-02-19)
This study describes a novel approach to solve the surgical site infection (SSI) classification problem. Feature engineering has
traditionally been one of the most important steps in solving complex classification problems, especially in cases with temporal data.
The described novel approach is based on abstraction of temporal data recorded in three temporal windows. Maximum likelihood
L1-norm ...