揭示化学趋势:从Exposomics研究中的数据驱动可视化和专利分析的见解
Dagny Aurich1, Emma L Schymanski1, Flavio de Jesus Matias1,2
1Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Avenue du Swing, Belvaux L-4367, Luxembourg.
概括
这项研究引入了"化学条纹",一种可视化历史化学专利数据的工具. 它有助于评估过去的化学品使用影响,并预测未来的趋势,尽管数据有限.
科学领域:
- 化学 化学 化学
- 数据科学数据科学数据科学
- 环境科学 环境科学
背景情况:
- 历史化学品使用数据对于健康和环境影响评估至关重要.
- 过去的监测数据往往有限,阻碍了全面的分析.
- 化学信息学为分析历史化学信息提供解决方案.
研究的目的:
- 介绍和详细介绍"化学条纹"工具,用于可视化化学专利和文献趋势.
- 探索专利数据的实用性,以了解历史化学品使用模式.
- 评估化学趋势分析数据驱动方法的潜力和局限性.
主要方法:
- 开发了一个名为"化学条纹"的交互式,开源工具.
- 利用了PubChem的专利数据,专注于来源,用途和国家.
- 综合化学信息学,统计分析和数据可视化技术.
主要成果:
- 视觉化化学专利的趋势随着时间的推移和不同地理区域.
- 识别了专利数据提取中的机会和潜在的工件.
- 证明了综合数据分析对历史化学洞察力的价值.
结论:
- 化学条纹为化学专利的历史景观提供了宝贵的见解.
- 数据驱动的化学信息学方法,尽管有警告,但可以阐明过去的化学用途.
- 这种方法可以作为对未来化学趋势和监管需求的早期预警系统.
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