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.

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Abstract

Biases in selection, training, and continuing professional development of medical specialists arise in part from reliance upon expert judgement for the design, implementation, and management of medical education. Reducing bias in curriculum development has primarily relied upon consensus processes modelled on the Delphi technique. The application of machine learning algorithms to databases indexing peer-reviewed medical literature can extract objective evidence about the novelty, relevance, and relative importance of different areas of medical knowledge. This study reports the construction of a map of medical knowledge based on the entire corpus of the MEDLINE database indexing more than 30 million articles published in medical journals since the 19th century. Techniques used in cartography to maximise the visually intelligible differentiation between regions are applied to knowledge clusters identified by a self-organising map to show the structure of published psychiatric evidence and its relationship to non-psychiatric medical domains.

Item ID:	84787
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-64368-457-4
Related URLs:	Publisher
Copyright Information:	© 2024 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
Date Deposited:	04 Mar 2025 01:09
FoR Codes:	32 BIOMEDICAL AND CLINICAL SCIENCES > 3299 Other biomedical and clinical sciences > 329999 Other biomedical and clinical sciences not elsewhere classified @ 50% 46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified @ 50%
SEO Codes:	16 EDUCATION AND TRAINING > 1603 Teaching and curriculum > 160301 Assessment, development and evaluation of curriculum @ 30% 20 HEALTH > 2099 Other health > 209999 Other health not elsewhere classified @ 30% 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence @ 40%
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