Home ›
Entities
› academia
› Primitive detection of Alzheimer’s disease using neuroimaging: A progression model for Alzheimer’s disease: Their applications, benefits, and drawbacks
Primitive detection of Alzheimer’s disease using neuroimaging: A progression model for Alzheimer’s disease: Their applications, benefits, and drawbacks
Research article (Journal of Intelligent & Fuzzy Systems, 2022) · cited 20× · AI/ML
Primitive detection of Alzheimer’s disease using neuroimaging: A progression model for Alzheimer’s disease: Their applications, benefits, and drawbacks
Summary
Primitive detection of Alzheimer’s disease using neuroimaging: A progression model for Alzheimer’s disease: Their applications, benefits, and drawbacks is a scholarly article[1].
Key Facts
Primitive detection of Alzheimer’s disease using neuroimaging: A progression model for Alzheimer’s disease: Their applications, benefits, and drawbacks'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). Primitive detection of Alzheimer’s disease using neuroimaging: A progression model for Alzheimer’s disease: Their applications, benefits, and drawbacks. Retrieved May 24, 2026, from https://4ort.xyz/entity/primitive-detection-of-alzheimers-disease-using-neuroimaging-a-progression-model-for-alzheimers-disease-their-applicatio
MLA“Primitive detection of Alzheimer’s disease using neuroimaging: A progression model for Alzheimer’s disease: Their applications, benefits, and drawbacks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/primitive-detection-of-alzheimers-disease-using-neuroimaging-a-progression-model-for-alzheimers-disease-their-applicatio.
BibTeX@misc{4ortxyz_primitive-detection-of-alzheimers-disease-using-neuroimaging-a-progression-model-for-alzheimers-disease-their-applicatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Primitive detection of Alzheimer’s disease using neuroimaging: A progression model for Alzheimer’s disease: Their applications, benefits, and drawbacks}}, year = {2026}, url = {https://4ort.xyz/entity/primitive-detection-of-alzheimers-disease-using-neuroimaging-a-progression-model-for-alzheimers-disease-their-applicatio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Primitive detection of Alzheimer’s disease using neuroimaging: A progression model for Alzheimer’s disease: Their applications, benefits, and drawbacks — https://4ort.xyz/entity/primitive-detection-of-alzheimers-disease-using-neuroimaging-a-progression-model-for-alzheimers-disease-their-applicatio (retrieved 2026-05-24)