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Machine Learning for Predicting Colorectal Surgery Outcomes Through Pre- and Intra-operative Parameters and Techniques

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Journal of Gastrointestinal Surgery

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Authors and Affiliations

  1. Department of Emergency Surgery, Sapienza University of Rome, Rome, Italy

    Gennaro Mazzarella

  2. Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy

    Riccardo Emanuele Landi

Authors
  1. Gennaro Mazzarella
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  2. Riccardo Emanuele Landi
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Correspondence to Riccardo Emanuele Landi.

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Mazzarella, G., Landi, R.E. Machine Learning for Predicting Colorectal Surgery Outcomes Through Pre- and Intra-operative Parameters and Techniques. J Gastrointest Surg 25, 1638–1639 (2021). https://doi.org/10.1007/s11605-021-04991-6

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  • DOI: https://doi.org/10.1007/s11605-021-04991-6

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