Machine learning survival models for relapse prediction in a early stage lung cancer patient

التفاصيل البيبلوغرافية
العنوان: Machine learning survival models for relapse prediction in a early stage lung cancer patient
المؤلفون: Timilsina, Mohan, Buosi, Samuele, Janik, Adrianna, Minervini, Pasquale, Costabello, Luca, Torrente, Maria, Provencio, Mariano, Calvo, Virginia, Camps, Carlos, Ortega, Ana L., Garcia Campelo, M.Rosario, del Barco, Edel, Bosch-Barrera, Joaquim, Nováček, Vít
المساهمون: Massutí, Bartomeu
بيانات النشر: IEEE
سنة النشر: 2023
المجموعة: National University of Ireland (NUI), Galway: ARAN
مصطلحات موضوعية: survival, time, event, cancer
الوصف: Lung cancer is one of the leading health complica tions causing high mortality worldwide. The relapsing behavior of medically treated early-stage lung cancer makes this disease even more complicated. Thus predicting such relapse using a data-centric approach provides a complementary perspective for clinicians to understand the disease. In this preliminary work, we explored off-the-shelf survival models to predict the relapse of early-stage lung cancer patients. We analyzed the survival models on a cohort of 1348 early-stage non-small cell lung cancer (NSCLC) patients in different timestamps. Using the prediction explanation model SHAP (SHapley Additive exPlanations), we further explained the best-performing survival model’s predic tions. Our explainable predictive model is a potential tool for oncologists that address an unmet clinical need for post-treatment patient stratification based on the relapse hazard. ; We would like to acknowledge Science Foundation Ireland (SFI/12/RC/2289 P2) and the CLARIFY project (European Commission under the grant number 875160) for funding this research.
نوع الوثيقة: conference object
وصف الملف: application/pdf
اللغة: English
Relation: Timilsina, Mohan, Buosi, Samuele, Janik, Adrianna, Minervini, Pasquale, Costabello, Luca, Torrente, Maria, Provencio, Mariano, Calvo, Virginia, Camps, Carlos, Ortega, Ana L., Massutí, Bartomeu, Garcia Campelo, M.Rosario, del Barco, Edel, Bosch-Barrera, Joaquim, Novacek, Vit (2023). Machine learning survival models for relapse prediction in a early stage lung cancer patient. Paper presented at the International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 18-23 June. https;/dx.doi.org/10.1109/IJCNN54540.2023.10191078; https://hdl.handle.net/10379/18226
DOI: 10.1109/IJCNN54540.2023.10191078
الاتاحة: https://hdl.handle.net/10379/18226
https://doi.org/10.1109/IJCNN54540.2023.10191078
Rights: Attribution 4.0 International ; http://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.DA1A285C
قاعدة البيانات: BASE
الوصف
DOI:10.1109/IJCNN54540.2023.10191078