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Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting‐state <scp>fMRI</scp>
Research article (Addiction Biology, 2018) · cited 46× · AI/ML
Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting‐state fMRI
Summary
Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting‐state fMRI is a scholarly article[1].
Key Facts
Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting‐state fMRI's instance of is recorded as scholarly article[2].
References
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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). Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting‐state <scp>fMRI</scp>. Retrieved May 24, 2026, from https://4ort.xyz/entity/classifying-and-characterizing-nicotine-use-disorder-with-high-accuracy-using-machine-learning-and-restingstate-scp-fmri
MLA“Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting‐state <scp>fMRI</scp>.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/classifying-and-characterizing-nicotine-use-disorder-with-high-accuracy-using-machine-learning-and-restingstate-scp-fmri.
BibTeX@misc{4ortxyz_classifying-and-characterizing-nicotine-use-disorder-with-high-accuracy-using-machine-learning-and-restingstate-scp-fmri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting‐state <scp>fMRI</scp>}}, year = {2026}, url = {https://4ort.xyz/entity/classifying-and-characterizing-nicotine-use-disorder-with-high-accuracy-using-machine-learning-and-restingstate-scp-fmri}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting‐state <scp>fMRI</scp> — https://4ort.xyz/entity/classifying-and-characterizing-nicotine-use-disorder-with-high-accuracy-using-machine-learning-and-restingstate-scp-fmri (retrieved 2026-05-24)
