Defining the Boundaries of Psychiatric and Medical Knowledge : Applying Cartographic Principles to Self-Organising Maps
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:310 |
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| Enthalten in: |
Studies in health technology and informatics - 310(2024) vom: 25. Jan., Seite 795-799 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Amos, Andrew [VerfasserIn] |
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| Links: |
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| Themen: |
Information science |
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| Anmerkungen: |
Date Completed 26.01.2024 Date Revised 26.01.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.3233/SHTI231074 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a 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 | ||
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