Home ›
Entities
› academia
› Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus
Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus
Research article (Journal of Medical Systems, 2019) · cited 27× · AI/ML
Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus
Summary
Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus is a scholarly article[1].
Key Facts
Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus'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). Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-more-accessible-precision-medicine-building-a-more-transferable-machine-learning-model-to-support-prognostic-dec
MLA“Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-more-accessible-precision-medicine-building-a-more-transferable-machine-learning-model-to-support-prognostic-dec.
BibTeX@misc{4ortxyz_towards-more-accessible-precision-medicine-building-a-more-transferable-machine-learning-model-to-support-prognostic-dec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus}}, year = {2026}, url = {https://4ort.xyz/entity/towards-more-accessible-precision-medicine-building-a-more-transferable-machine-learning-model-to-support-prognostic-dec}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus — https://4ort.xyz/entity/towards-more-accessible-precision-medicine-building-a-more-transferable-machine-learning-model-to-support-prognostic-dec (retrieved 2026-05-24)
