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使用LightGBM进行专利寿命预测,并具有定制的损失.

Jieming Liu1, Peizhao Li2, Xiaowei Liu3

  • 1School of Law, Humanities and Sociology, Wuhan University of Technology, Wuhan, Hubei, China.

PeerJ. Computer science
|June 10, 2024
PubMed
概括

这项研究使用LightGBM和焦点损失预测了专利寿命,提高了商业潜力的评估. 这种新的方法提高了对专利期限和商业可行性的预测准确度.

关键词:
数据科学是数据科学.轻GBMM 轻GBM 轻GBM 轻GBM机器学习 机器学习专利的终身使用期限.预测 预测 预测

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Kaplan-Meier Approach01:24

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
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