# Enhancing Survival Analysis Model Selection through XAI(t) in Healthcare
## 5 Conclusions
### Pipeline Workflow Pseudo-Code
In Proceedings of the Advances in Neural Information Processing Systems, Long Beach, CA, USA, 4-9 December 2017; Volume 30. * [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON] \"Why Should I Trust You?\": Explaining the Predictions of Any Classifier. In Proceedings of the 22 nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '16), New York, NY, USA, 13-17 August 2016; pp. 1135-1144. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] SurvLIME: A method for explaining Machine Learning survival models. _Knowl.-Based Syst._**2020**, _203_, 106164. [CrossRef]
* [PERSON] (2024) [PERSON] Dataset Related to Study: \"Age and Comorbidity Are Crucial Predictors of Mortality in Severe Obstructive Sleep Apnoea Syndrome\". Available online: [[https://zenodo.org/records/4290149](https://zenodo.org/records/4290149)]([https://zenodo.org/records/4290149](https://zenodo.org/records/4290149)) (accessed on 27 April 2024). * [PERSON] et al. (2012) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Normal reference values for glomerular filtration rate: What do we really know? _Neplorad. Dial. Transplant._**2012**, _27_, 2664-2672. [CrossRef]
* Healthy Lifestyle--WHO Recommendations. Available online: [[https://www.who.int/europe/news-room/fact-sheets/item/a-healthy-lifestyle--who-recommendations](https://www.who.int/europe/news-room/fact-sheets/item/a-healthy-lifestyle--who-recommendations)]([https://www.who.int/europe/news-room/fact-sheets/item/a-healthy-lifestyle--who-recommendations](https://www.who.int/europe/news-room/fact-sheets/item/a-healthy-lifestyle--who-recommendations)) ( accessed on 20 April 2024). * [PERSON] et al. (2023) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; et al. Mortality in obstructive sleep apnea syndrome (OSAS) and overlap syndrome (OS): The role of nocturnal hypoxemia and CPAP compliance. _Sleep Med._**2023**, _112_, 96-103. [CrossRef]
* [PERSON] et al. (2013) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Increased Prevalence of Sleep-Disordered Breathing in Adults. _Am. J. Epidemiol._**2013**, _177_, 1006-1014. [CrossRef] [PubMed]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Sudden death in individuals with obstructive sleep apnoea: A systematic review and meta-analysis. _BMJ Open Respir. Res._**2021**, \(8\), [CrossRef]
* [PERSON] (1972) [PERSON] Regression Models and Life-Tables. _J. R. Stat. Soc. Ser. B (Methodol. )_**1972**, _34_, 187-220. [CrossRef]
* [PERSON] et al. (2008) [PERSON]; [PERSON]; [PERSON]; [PERSON] Random Survival Forests. _Ann. Appl. Stat._**2008**, \(2\), 841-860. [CrossRef]
* [PERSON] (2001) [PERSON] The State of Boosting. _Comput. Sci. Stat._**2001**, _31_, 172-181. * [PERSON] et al. (2018) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Support Vector Machines for Survival Analysis with R. _R J._**2018**, _10_, 412-423. [CrossRef]
* [PERSON] (2019) [PERSON]; [PERSON]; [PERSON] Time-to-Event Prediction with Neural Networks and Cox Regression. _arXiv_**2019**, arXiv: 1907.00825. * [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON] DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks. In Proceedings of the AAAI Conference on Artificial Intelligence, New Orleans, LA, USA, 2-7 February 2018; Volume 32. [CrossRef]
* [PERSON] et al. (2018) [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON] DeepSurv: Personalized treatment recommender system using a Cox proportional hazards deep neural network. _BMC Med. Res. Methodol._**2018**, _18_, 24. [CrossRef]
* [PERSON] (2018) [PERSON]; [PERSON] A scalable discrete-time survival model for neural networks. _PeerJ_**2018**, \(7\), e6257. [CrossRef]
* [PERSON] et al. (2007) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Continuous and Discrete Time Survival Analysis: Neural Network Approaches.