Back
Top 12%
34.3%
Top 6%
19.6%
Top 36%
6.6%
Top 2%
6.6%
Top 3%
5.6%
Top 5%
3.5%
Top 18%
2.1%
Top 15%
1.7%
Top 15%
1.1%
Top 0.8%
1.0%
Top 27%
1.0%
Top 6%
0.8%
Top 8%
0.8%
Top 4%
0.6%
Top 8%
0.5%
Top 25%
0.5%
Top 10%
0.5%
Top 65%
0.5%
Top 19%
0.5%
Top 12%
0.5%
Top 7%
0.5%
Top 23%
0.5%
Natural Language Processing Analysis of Australian Health Practitioner Disciplinary Tribunal Decisions, 1999-2026
2026-02-17
health policy
Title + abstract only
View on medRxiv
Show abstract
Natural language processing was applied to 3,586 Australian health practitioner tribunal decisions (1999-2026) to identify patterns in professional misconduct, outcomes, and temporal trends at a scale impractical through manual analysis. A text classification approach categorised 2,428 disciplinary decisions across seven misconduct types with acceptable accuracy for the major categories (per-class F1 0.47-0.82). Boundary violations were the most prevalent misconduct type (30.2%), followed by dis...
Predicted journal destinations
1
PLOS ONE
1737 training papers
2
BMJ Open
553 training papers
3
Scientific Reports
701 training papers
4
BMC Public Health
148 training papers
5
Journal of Medical Internet Research
81 training papers
6
JAMA Network Open
125 training papers
7
PLOS Global Public Health
287 training papers
8
International Journal of Environmental Research and Public Health
116 training papers
9
PLOS Digital Health
88 training papers
10
Journal of General Internal Medicine
19 training papers
11
Frontiers in Public Health
135 training papers
12
JAMIA Open
35 training papers
13
JMIR Public Health and Surveillance
45 training papers
14
F1000Research
28 training papers
15
BMC Health Services Research
43 training papers
16
npj Digital Medicine
85 training papers
17
Public Health
34 training papers
18
eLife
262 training papers
19
Vaccines
131 training papers
20
BMC Medical Research Methodology
41 training papers
21
Journal of the American Medical Informatics Association
53 training papers
22
BMJ Global Health
95 training papers