An application of methods for the probabilistic three-class classification of pregnancies of unknown location
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摘要
ObjectiveWe developed and compared classifiers to predict the outcome of pregnancies of unknown location (PUL). This is a three-class problem, as the possible outcomes are failing PUL, intra-uterine pregnancy (IUP), or ectopic pregnancy (EP). We focused on probabilistic classification because of the importance of uncertainty information in medical decision making.
论文关键词：Pregnancy of unknown location,Multi-class classification,Least squares support vector machines,Logistic regression,Kernel logistic regression
论文评审过程：Received 5 October 2007, Revised 28 November 2008, Accepted 1 December 2008, Available online 20 January 2009.
论文官网地址：https://doi.org/10.1016/j.artmed.2008.12.003
