Improved modeling of clinical data with kernel methods
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摘要
ObjectiveDespite the rise of high-throughput technologies, clinical data such as age, gender and medical history guide clinical management for most diseases and examinations. To improve clinical management, available patient information should be fully exploited. This requires appropriate modeling of relevant parameters.
论文关键词：Machine learning,Support vector machine,Kernel function,Biostatistics,Clinical data representation,Clinical decision support system,Gynecology,Breast cancer
论文评审过程：Received 27 November 2009, Revised 22 October 2011, Accepted 7 November 2011, Available online 30 November 2011.
论文官网地址：https://doi.org/10.1016/j.artmed.2011.11.001
