Article Versions Notes

Lukomski L, Pisula J, Wirsik N, Damanakis A, Jung J-O, Knipper K, Datta R, Schröder W, Gebauer F, Schmidt T, et al. Analyzing the Impact of Oncological Data at Different Time Points and Tumor Biomarkers on Artificial Intelligence Predictions for Five-Year Survival in Esophageal Cancer. Machine Learning and Knowledge Extraction. 2024; 6(1):679-698. https://doi.org/10.3390/make6010032

Lukomski, Leandra, Juan Pisula, Naita Wirsik, Alexander Damanakis, Jin-On Jung, Karl Knipper, Rabi Datta, Wolfgang Schröder, Florian Gebauer, Thomas Schmidt, and et al. 2024. "Analyzing the Impact of Oncological Data at Different Time Points and Tumor Biomarkers on Artificial Intelligence Predictions for Five-Year Survival in Esophageal Cancer" Machine Learning and Knowledge Extraction 6, no. 1: 679-698. https://doi.org/10.3390/make6010032

Lukomski, L., Pisula, J., Wirsik, N., Damanakis, A., Jung, J. -O., Knipper, K., Datta, R., Schröder, W., Gebauer, F., Schmidt, T., Quaas, A., Bozek, K., Bruns, C., & Popp, F. (2024). Analyzing the Impact of Oncological Data at Different Time Points and Tumor Biomarkers on Artificial Intelligence Predictions for Five-Year Survival in Esophageal Cancer. Machine Learning and Knowledge Extraction, 6(1), 679-698. https://doi.org/10.3390/make6010032