Joeky Senders

187 Appendices OPEN SOURCE CODE AND SOFTWARE To facilitate the reproducibility and transparency of the current work, we have released all developed code and software from Part II and Part III on publicly-accessible servers or repositories. This allows for external validation and optimization in other institutions, patients, and outcomes. We strongly advocate future research to adopt the concept of open source coding to facilitate the implementation and acceptance of high-performing models in clinical care. Chapter 5 Title: An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning Product: Online survival calculator Link: https://cnoc-bwh.shinyapps.io/gbmsurvivalpredictor/ Chapter 6 Title: Automating clinical chart review — an open-source natural language processing pipeline developed on free-text radiology reports of glioblastoma patients Product: Source code Link: https://github.com/jtsenders/nlp_glioblastoma Chapter 7 Title: Natural language processing for automated quantification of brain metastases reported in free-text radiology reports Product: Source code Link: https://github.com/jtsenders/nlp_brain_metastasis Chapter 8 Title: Deep learning for natural language processing of free-text pathology reports — a comparison of learning curves Product: Source code Link: https://github.com/jtsenders/nlp_learning_curves