Home ›
Entities
› academia
› Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study
Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study
Research article (JMIR mhealth and uhealth, 2020) · cited 15× · AI/ML
Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study
Summary
Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study is a scholarly article[1].
Key Facts
Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study'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). Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/use-of-a-machine-learning-program-to-correctly-triage-incoming-text-messaging-replies-from-a-cardiovascular-textbased-se
MLA“Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/use-of-a-machine-learning-program-to-correctly-triage-incoming-text-messaging-replies-from-a-cardiovascular-textbased-se.
BibTeX@misc{4ortxyz_use-of-a-machine-learning-program-to-correctly-triage-incoming-text-messaging-replies-from-a-cardiovascular-textbased-se_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study}}, year = {2026}, url = {https://4ort.xyz/entity/use-of-a-machine-learning-program-to-correctly-triage-incoming-text-messaging-replies-from-a-cardiovascular-textbased-se}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study — https://4ort.xyz/entity/use-of-a-machine-learning-program-to-correctly-triage-incoming-text-messaging-replies-from-a-cardiovascular-textbased-se (retrieved 2026-05-24)