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researcher

Kylie Burke

2 papers hereh-index 14 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • eess.AS1

identity via Semantic Scholar / OpenAlex

most citedFeasibility of Mental Health Triage Call Priority Prediction Using Machine Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024

AI-assisted summary of suicide risk Formulation

Rajib Rana, Niall Higgins, Kazi N. Haque +5

Background: Formulation, associated with suicide risk assessment, is an individualised process that seeks to understand the idiosyncratic nature and development of an individual's…

eess.AS2024★ 1 cited

Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning

Rajib Rana, Niall Higgins, Kazi Nazmul Haque +4

Ensuring accurate call prioritisation is essential for optimising the efficiency and responsiveness of mental health helplines. Currently, call operators rely entirely on the calle…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.