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Early Detection and Self-management of Long-term Conditions Using Wearable Technologies

2017 master's thesis by Mirza Mohsin Baig at Auckland University of Technology
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Early Detection and Self-management of Long-term Conditions Using Wearable Technologies

Summary

Early Detection and Self-management of Long-term Conditions Using Wearable Technologies is a master's thesis[1].

Key Facts

  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies authored Mirza Mohsin Baig[2].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's instance of is recorded as master's thesis[3].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's publisher is recorded as Tuwhera Open Access Publisher[4].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's language of work or name is recorded as English[5].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's country of origin is recorded as New Zealand[6].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's publication date is recorded as +2017-00-00T00:00:00Z[7].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's main subject is recorded as type 2 diabetes[8].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's main subject is recorded as diabetes[9].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's main subject is recorded as prediabetes syndromeverga[10].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's Handle ID is recorded as 10292/10999[11].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's title is recorded as Early Detection and Self-management of Long-term Conditions Using Wearable Technologies[12].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's copyright holder is recorded as Mirza Mohsin Baig[13].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's thesis submitted to is recorded as Auckland University of Technology[14].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's on focus list of Wikimedia project is recorded as NZThesisProject[15].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's copyright status is recorded as copyrighted[16].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's thesis committee member is recorded as Jairo Gutierrez[17].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's thesis committee member is recorded as Farhaan Mirza[18].
  • Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's thesis committee member is recorded as Mirza Mansoor Baig[19].

Body

Designation and Status

Early Detection and Self-management of Long-term Conditions Using Wearable Technologies's instance of is recorded as master's thesis[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  8. [9] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  9. [10] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). Early Detection and Self-management of Long-term Conditions Using Wearable Technologies. Retrieved May 3, 2026, from https://4ort.xyz/entity/early-detection-and-self-management-of-long-term-conditions-using-wearable-technologies
MLA “Early Detection and Self-management of Long-term Conditions Using Wearable Technologies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/early-detection-and-self-management-of-long-term-conditions-using-wearable-technologies.
BibTeX @misc{4ortxyz_early-detection-and-self-management-of-long-term-conditions-using-wearable-technologies_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Early Detection and Self-management of Long-term Conditions Using Wearable Technologies}}, year = {2026}, url = {https://4ort.xyz/entity/early-detection-and-self-management-of-long-term-conditions-using-wearable-technologies}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Early Detection and Self-management of Long-term Conditions Using Wearable Technologies — https://4ort.xyz/entity/early-detection-and-self-management-of-long-term-conditions-using-wearable-technologies (retrieved 2026-05-03)

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