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Explainable Artificial Intelligence Helps in Understanding the Effect of Fibronectin on Survival of Sepsis

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cris.lastimport.scopus2024-02-12T20:16:45Z
dc.abstract.enFibronectin (FN) plays an essential role in the host’s response to infection. In previous studies, a significant decrease in the FN level was observed in sepsis; however, it has not been clearly elucidated how this parameter affects the patient’s survival. To better understand the relationship between FN and survival, we utilized innovative approaches from the field of explainable machine learning, including local explanations (Break Down, Shapley Additive Values, Ceteris Paribus), to understand the contribution of FN to predicting individual patient survival. The methodology provides new opportunities to personalize informative predictions for patients. The results showed that the most important indicators for predicting survival in sepsis were INR, FN, age, and the APACHE II score. ROC curve analysis showed that the model’s successful classification rate was 0.92, its sensitivity was 0.92, its positive predictive value was 0.76, and its accuracy was 0.79. To illustrate these possibilities, we have developed and shared a web-based risk calculator for exploring individual patient risk. The web application can be continuously updated with new data in order to further improve the model.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorAdamik, Barbara
dc.contributor.authorGozdzik, Waldemar
dc.contributor.authorTyszko, Maciej
dc.contributor.authorSkalec, Tomasz
dc.contributor.authorBiecek, Przemysław
dc.contributor.authorKobylińska, Katarzyna
dc.contributor.authorKrzyżanowska-Gołąb, Dorota
dc.contributor.authorLemańska-Perek, Anna
dc.date.accessioned2024-01-25T00:09:48Z
dc.date.available2024-01-25T00:09:48Z
dc.date.issued2022
dc.description.financeŚrodki finansowe przyznane na realizację projektu w zakresie badań naukowych lub prac rozwojowych
dc.description.number15
dc.description.volume11
dc.identifier.doi10.3390/CELLS11152433
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/106783
dc.identifier.weblinkhttps://www.mdpi.com/2073-4409/11/15/2433/pdf
dc.languageeng
dc.pbn.affiliationcomputer and information sciences
dc.relation.ispartofCells
dc.relation.pages2433
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.titleExplainable Artificial Intelligence Helps in Understanding the Effect of Fibronectin on Survival of Sepsis
dc.typeJournalArticle
dspace.entity.typePublication