Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques

Author:

Kim Kyung-Ah,Choi Joon Yul,Yoo Tae Keun,Kim Sung Kean,Chung KilSoo,Kim Deok Won

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Reference33 articles.

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4. Birkhahn RH, Gaeta TJ, Terry D, Bove JJ, Tloczkowski J (2005) Shock index in diagnosing early acute hypovolemia. Am J Emerg Med 23(3):323–326

5. Choi JY, Kim SK, Lee WH, Yoo TK, Kim DW (2012) A survival prediction model of rats in hemorrhagic shock using the random forest classifier. Proceedings of the 34th International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, IEEE Service Center, Piscataway, NJ, pp 5570–5573. doi: 10.1109/IEMBS.2012.6347256

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