Interpretable machine learning model to detect chemically adulterated urine samples analyzed by high resolution mass spectrometry

Research article (Clinical Chemistry and Laboratory Medicine (CCLM), 2021) · cited 16× · AI/ML
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Interpretable machine learning model to detect chemically adulterated urine samples analyzed by high resolution mass spectrometry

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Interpretable machine learning model to detect chemically adulterated urine samples analyzed by high resolution mass spectrometry is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Interpretable machine learning model to detect chemically adulterated urine samples analyzed by high resolution mass spectrometry. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretable-machine-learning-model-to-detect-chemically-adulterated-urine-samples-analyzed-by-high-resolution-mass-spe
MLA “Interpretable machine learning model to detect chemically adulterated urine samples analyzed by high resolution mass spectrometry.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretable-machine-learning-model-to-detect-chemically-adulterated-urine-samples-analyzed-by-high-resolution-mass-spe.
BibTeX @misc{4ortxyz_interpretable-machine-learning-model-to-detect-chemically-adulterated-urine-samples-analyzed-by-high-resolution-mass-spe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretable machine learning model to detect chemically adulterated urine samples analyzed by high resolution mass spectrometry}}, year = {2026}, url = {https://4ort.xyz/entity/interpretable-machine-learning-model-to-detect-chemically-adulterated-urine-samples-analyzed-by-high-resolution-mass-spe}, note = {Accessed: 2026-05-24}}
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