Home ›
Entities
› academia
› A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach
A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach
A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach
Summary
A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach is a scholarly article[1].
Key Facts
A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach'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). A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-computational-intelligence-technique-for-the-effective-diagnosis-of-diabetic-patients-using-principal-component-analys
MLA“A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-computational-intelligence-technique-for-the-effective-diagnosis-of-diabetic-patients-using-principal-component-analys.
BibTeX@misc{4ortxyz_a-computational-intelligence-technique-for-the-effective-diagnosis-of-diabetic-patients-using-principal-component-analys_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach}}, year = {2026}, url = {https://4ort.xyz/entity/a-computational-intelligence-technique-for-the-effective-diagnosis-of-diabetic-patients-using-principal-component-analys}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach — https://4ort.xyz/entity/a-computational-intelligence-technique-for-the-effective-diagnosis-of-diabetic-patients-using-principal-component-analys (retrieved 2026-05-24)
