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使用机器学习预测皮肤敏感化

Jueng Eun Im1, Jung Dae Lee2, Hyang Yeon Kim2

  • 1Department of Pharmacy, College of Pharmacy, Dankook University, Cheonan, Chungnam 31116, Republic of Korea; Center for Human Risk Assessment, Dankook University, Cheonan, Chungnam 31116, Republic of Korea; Division of Cosmetics Evaluation, Department of Biopharmaceuticals and Herbal Medicine Evaluation, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety, Cheongju, Chungbuk 28159, Republic of Korea.

Toxicology in vitro : an international journal published in association with BIBRA
|September 3, 2023
PubMed
概括

一个新的机器学习模型有效地利用化学特性预测皮肤敏感性,为动物试验提供更快的替代方案. 这种方法有助于快速选化学敏感性危害.

关键词:
机器学习 机器学习随机的森林随机的森林皮肤敏感化 皮肤敏感化表面张力是表面的张力.

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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
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