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Machine Learning Techniques

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Statistics and Research Methods for Acute Care and General Surgeons

Part of the book series: Hot Topics in Acute Care Surgery and Trauma ((HTACST))

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Abstract

Machine learning comprises algorithms that can perform tasks they were not explicitly programmed to perform. Explicitly programmed algorithms perform tasks according to a predefined sequence of instructions. Conversely, machine learning algorithms are programmed to learn to perform tasks using input data. In the era of abundant data, affordable data storage, and computational capabilities, understanding machine learning algorithms is critical to better explore and answer questions that can advance surgical science.

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Acknowledgements

This work was supported by the American Heart Association (19PABHI34580007), Burroughs Wellcome Fund (1019816), NIH (1R61NS114926), and NIH (R35GM138353).

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Authors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Jeff Choi, Nima Aghaeepour & Martin Becker

Authors
  1. Jeff Choi
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  2. Nima Aghaeepour
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  3. Martin Becker
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Corresponding author

Correspondence to Nima Aghaeepour .

Editor information

Editors and Affiliations

  1. General and Emergency Surgery Department, School of Medicine and Surgery, Milano-Bicocca University, Monza, Italy

    Marco Ceresoli

  2. Department of Surgery, College of Medicine and Health Science, United Arab Emirates University, Abu Dhabi, United Arab Emirates

    Fikri M. Abu-Zidan

  3. Department of Surgery, Stanford University, Stanford, CA, USA

    Kristan L. Staudenmayer

  4. General and Emergency Surgery Department, Bufalini Hospital, Cesena, Italy

    Fausto Catena

  5. Department of General, Emergency and Trauma Surgery, Pisa University Hospital, Pisa, Pisa, Italy

    Federico Coccolini

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Choi, J., Aghaeepour, N., Becker, M. (2022). Machine Learning Techniques. In: Ceresoli, M., Abu-Zidan, F.M., Staudenmayer, K.L., Catena, F., Coccolini, F. (eds) Statistics and Research Methods for Acute Care and General Surgeons. Hot Topics in Acute Care Surgery and Trauma. Springer, Cham. https://doi.org/10.1007/978-3-031-13818-8_12

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  • DOI: https://doi.org/10.1007/978-3-031-13818-8_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13817-1

  • Online ISBN: 978-3-031-13818-8

  • eBook Packages: MedicineMedicine (R0)

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