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Position statement on classification of basal cell carcinomas. Part 1: unsupervised clustering of experts as a way to build an operational classification of advanced basal cell carcinoma based on pattern recognition

Research article (Journal of the European Academy of Dermatology and Venereology, 2021) · cited 20× · AI/ML
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Position statement on classification of basal cell carcinomas. Part 1: unsupervised clustering of experts as a way to build an operational classification of advanced basal cell carcinoma based on pattern recognition

Summary

Position statement on classification of basal cell carcinomas. Part 1: unsupervised clustering of experts as a way to build an operational classification of advanced basal cell carcinoma based on pattern recognition is a scholarly article[1].

Key Facts

  • Position statement on classification of basal cell carcinomas. Part 1: unsupervised clustering of experts as a way to build an operational classification of advanced basal cell carcinoma based on pattern recognition's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Position statement on classification of basal cell carcinomas. Part 1: unsupervised clustering of experts as a way to build an operational classification of advanced basal cell carcinoma based on pattern recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/position-statement-on-classification-of-basal-cell-carcinomas-part-1-unsupervised-clustering-of-experts-as-a-way-to-buil
MLA “Position statement on classification of basal cell carcinomas. Part 1: unsupervised clustering of experts as a way to build an operational classification of advanced basal cell carcinoma based on pattern recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/position-statement-on-classification-of-basal-cell-carcinomas-part-1-unsupervised-clustering-of-experts-as-a-way-to-buil.
BibTeX @misc{4ortxyz_position-statement-on-classification-of-basal-cell-carcinomas-part-1-unsupervised-clustering-of-experts-as-a-way-to-buil_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Position statement on classification of basal cell carcinomas. Part 1: unsupervised clustering of experts as a way to build an operational classification of advanced basal cell carcinoma based on pattern recognition}}, year = {2026}, url = {https://4ort.xyz/entity/position-statement-on-classification-of-basal-cell-carcinomas-part-1-unsupervised-clustering-of-experts-as-a-way-to-buil}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Position statement on classification of basal cell carcinomas. Part 1: unsupervised clustering of experts as a way to build an operational classification of advanced basal cell carcinoma based on pattern recognition — https://4ort.xyz/entity/position-statement-on-classification-of-basal-cell-carcinomas-part-1-unsupervised-clustering-of-experts-as-a-way-to-buil (retrieved 2026-05-24)

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