Mapping the boundaries of medical knowledge using machine learning algorithms applied to the Medline database of peer reviewed medical literature to guide decision-makers during curriculum development and maintenance
Amos, Andrew (2026) Mapping the boundaries of medical knowledge using machine learning algorithms applied to the Medline database of peer reviewed medical literature to guide decision-makers during curriculum development and maintenance. PhD thesis, James Cook University.
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Abstract
Andrew Amos examined the use of self-organising maps to describe the knowledge contained in the peer-reviewed medical literature indexed by the Medline database as a step towards an empirically derived map suitable for inclusion in medical curriculum development.
| Item ID: | 91923 |
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| Item Type: | Thesis (PhD) |
| Keywords: | Machine learning, Medical education, information science, Artificial intelligence, science of science, Curriculum development, Explainable AI, Diversity, equity, Explainable AI |
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| Copyright Information: | Copyright © 2026 Andrew Amos |
| Additional Information: | Four publications arising from this thesis are stored in ResearchOnline@JCU, at time of processing. Please see the Related URLS. The publications are: [Chapter 3] Amos, Andrew James, Lee, Kyungmi, Sen Gupta, Tarun, and Malau-Aduli, Bunmi S. (2021) Systematic review of specialist selection methods with implications for diversity in the medical workforce. BMC Medical Education, 21. 448. [Chapter 4] Amos, Andrew, Lee, Kyungmi, Sen Gupta, Tarun, and Malau-Aduli, Bunmi (2024) Defining the Boundaries of Psychiatric and Medical Knowledge: Applying Cartographic Principles to Self Organising Maps. In: MEDINFO 2023: The Future Is Accessible: Proceedings of the 19th World Congress on Medical and Health Informatics (310) pp. 795-799. From: MEDINFO 2023: 9th World Congress on Medical and Health Informatics, 8-12 July 2023, Sydney, NSW, Australia. [Chapter 5] Amos, Andrew James, Lee, Kyungmi, Sen Gupta, Tarun, and Malau-Aduli, Bunmi S. (2023) Identifying emerging topics in the peer‑reviewed literature to facilitate curriculum renewal and development. Current Psychology, 42. pp. 30813-30824. [Chapter 7] Amos, Andrew James, Lee, Kyungmi, Sen Gupta, Tarun, and Malau-Aduli, Bunmi S. (2024) Validating the knowledge represented by a self-organizing map with an expert-derived knowledge structure. BMC Medical Education, 24. 416. |
| Date Deposited: | 12 May 2026 02:36 |
| FoR Codes: | 39 EDUCATION > 3901 Curriculum and pedagogy > 390110 Medicine, nursing and health curriculum and pedagogy @ 60% 42 HEALTH SCIENCES > 4203 Health services and systems > 420312 Implementation science and evaluation @ 20% 46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified @ 20% |
| SEO Codes: | 20 HEALTH > 2002 Evaluation of health and support services > 200206 Health system performance (incl. effectiveness of programs) @ 50% 16 EDUCATION AND TRAINING > 1603 Teaching and curriculum > 160301 Assessment, development and evaluation of curriculum @ 50% |
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