Home ›
Entities
› academia
› Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms
Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms
Research article (Diabetes Obesity and Metabolism, 2019) · cited 39× · AI/ML
Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms
Summary
Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms is a scholarly article[1].
Key Facts
Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms'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). Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-short-and-longterm-glycated-haemoglobin-response-after-insulin-initiation-in-patients-with-type-2-diabetes-me
MLA“Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-short-and-longterm-glycated-haemoglobin-response-after-insulin-initiation-in-patients-with-type-2-diabetes-me.
BibTeX@misc{4ortxyz_predicting-short-and-longterm-glycated-haemoglobin-response-after-insulin-initiation-in-patients-with-type-2-diabetes-me_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-short-and-longterm-glycated-haemoglobin-response-after-insulin-initiation-in-patients-with-type-2-diabetes-me}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms — https://4ort.xyz/entity/predicting-short-and-longterm-glycated-haemoglobin-response-after-insulin-initiation-in-patients-with-type-2-diabetes-me (retrieved 2026-05-24)
