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Umeå University
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Staff photo Kean Tang

Kean Tang

Contact

E-mail
kean.tang@umu.se
Phone
+46 90 786 93 55

Works as

Affiliation
Doctoral student at Department of Mathematics and Mathematical Statistics
Location
MIT-huset, plan 3, Matematik och matematisk statistik, MIT.F.339 Umeå universitet, 901 87 Umeå
Age and gender patterns in emergency alarms and missions: a cross-sectional observational study
BMC Emergency Medicine, BioMed Central (BMC) 2026, Vol. 26, (1)
Tang, Kean; Lindström, Veronica; Ådahl, Markus; et al.
View publications in DiVA

Research projects

1 January 2018 until 31 December 2028
Data-driven optimization of prehospital care via statistics and machine learning