Title | ||
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Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage |
Abstract | ||
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We propose a Bootstrap resampling approach for Feature Selection (FS) using the weights obtained by a linear Support Vector Machine (SVM) when it is applied to high-dimensional input spaces. We build our approach on a practical application with an extremely high-dimensional input space. The application is the detection of Anastomosis Leakage (AL) after colorectal cancer surgery using free text Bag-of-Words in Electronic Health Records (EHRs). Colorectal cancer is the third most common cancer type, and surgery is the only curative treatment, making the detection of AL of prime importance. The reduced input space obtained by the proposed FS strategy in combination with the linear SVM provided a much improved performance for early detection AL after colorectal cancer (earlier/final sensitivity 97%/100% and specificity 47%/89%). Further extensions of the method can be the basis for a principled FS strategy in high-dimensional input spaces. |
Year | DOI | Venue |
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2014 | 10.1109/BHI.2014.6864430 | Biomedical and Health Informatics |
Keywords | DocType | Citations |
cancer,data mining,electronic health records,sampling methods,support vector machines,EHR,anastomosis leakage detection,bootstrap resampling approach,bootstrap resampling feature selection,colorectal cancer surgery,electronic health records,free text bag-of-words,high-dimensional input space,linear SVM,principled FS strategy,support vector machine | Conference | 1 |
PageRank | References | Authors |
0.36 | 4 | 13 |
Name | Order | Citations | PageRank |
---|---|---|---|
Cristina Soguero-Ruiz | 1 | 65 | 12.73 |
Kristian Hindberg | 2 | 33 | 3.06 |
José Luis Rojo-Álvarez | 3 | 270 | 41.81 |
Stein Olav Skrøvseth | 4 | 64 | 8.31 |
Fred Godtliebsen | 5 | 117 | 21.94 |
Kim Mortensen | 6 | 15 | 1.36 |
Arthur Revhaug | 7 | 17 | 2.73 |
Rolv-Ole Lindsetmo | 8 | 21 | 2.89 |
Inma Mora-Jimenez | 9 | 1 | 0.36 |
Knut Magne Augestad | 10 | 16 | 2.47 |
Robert Jenssen | 11 | 370 | 43.06 |
Soguero-Ruiz, C. | 12 | 1 | 0.36 |
Rojo-Alvarez, J.L. | 13 | 67 | 7.44 |