Home ›
Entities
› academia
› Interpretable machine learning model to detect chemically adulterated urine samples analyzed by high resolution mass spectrometry
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
Interpretable machine learning model to detect chemically adulterated urine samples analyzed by high resolution mass spectrometry
Summary
Interpretable machine learning model to detect chemically adulterated urine samples analyzed by high resolution mass spectrometry is a scholarly article[1].
Key Facts
Interpretable machine learning model to detect chemically adulterated urine samples analyzed by high resolution mass spectrometry's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.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}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interpretable machine learning model to detect chemically adulterated urine samples analyzed by high resolution mass spectrometry — https://4ort.xyz/entity/interpretable-machine-learning-model-to-detect-chemically-adulterated-urine-samples-analyzed-by-high-resolution-mass-spe (retrieved 2026-05-24)