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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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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