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Updated: May 30, 2025

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评估癌症数据中不可思议变量的强有力的标准化可解释异常检测

Philipp Röchner1,2, Franz Rothlauf1

  • 1Information Systems and Business Administration, Johannes Gutenberg University, Mainz 55128, Germany.

Journal of the American Medical Informatics Association : JAMIA
|January 28, 2025
PubMed
概括

强大的解释得分有效地识别癌症数据中的不可思议变量,优于基线方法. 这种方法提高了医疗记录中异常检测的解释性.

关键词:
检测异常检测异常检测癌症登记 癌症登记 癌症登记数据质量数据质量数据质量可以解释性的解释性.机器学习是机器学习.异常标志的检测异常标志的检测的可信性可信性.

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