Lung cancer survival period prediction and understanding: Deep learning approaches

•Deep learning models implemented with interpretability through feature importance.•Surveillance, Epidemiology & End Results (SEER) cancer registry data used for models in lung cancer survival period research.•Deep learning models significantly outperformed traditional machine learning models.•S...

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Veröffentlicht in:	International journal of medical informatics (Shannon, Ireland) Ireland), 2021-04, Vol.148, p.104371-104371, Article 104371
Hauptverfasser:	Doppalapudi, Shreyesh, Qiu, Robin G., Badr, Youakim
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep learning Feature importance Lung cancer SEER cancer registry Survival period prediction
Online-Zugang:	Volltext
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