Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection. Pölsterl, S., Conjeti, S., Navab, N., & Katouzian, A. Artif. Intell. Medicine, 72:1–11, 2016.
Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection [link]Paper  doi  bibtex   
@article{DBLP:journals/artmed/PolsterlCNK16,
  author    = {Sebastian P{\"{o}}lsterl and
               Sailesh Conjeti and
               Nassir Navab and
               Amin Katouzian},
  title     = {Survival analysis for high-dimensional, heterogeneous medical data:
               Exploring feature extraction as an alternative to feature selection},
  journal   = {Artif. Intell. Medicine},
  volume    = {72},
  pages     = {1--11},
  year      = {2016},
  url       = {https://doi.org/10.1016/j.artmed.2016.07.004},
  doi       = {10.1016/j.artmed.2016.07.004},
  timestamp = {Mon, 26 Oct 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/artmed/PolsterlCNK16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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