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Umeå universitet
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Huvudmenyn dold.

Kushan Kumara De Silva Ranakombu

0000-0003-0301-0805

Kontakt

E-post
kushan.ranakombu@umu.se
Telefon

Verksam vid

Anknytning
Anknuten som övrig/annan befattning till Institutionen för diagnostik och intervention
Plats
5A, Målpunkt H62, Norrlands universitetssjukhus Umeå universitet, 901 85 Umeå
Exploring the acceptability of a risk prediction tool for cardiometabolic risk (gestational diabetes and hypertensive disorders of pregnancy) for use in early pregnancy: a qualitative study
Midwifery, Elsevier 2025, Vol. 141
Lang, Sarah; McIntosh, Jennifer G.; Enticott, Joanne; et al.
Blood-based inflammatory markers in female infertility: evidence from Mendelian randomization analysis
F and S Science
Alesi, Simon; Teede, Helena; Enticott, Joanne; et al.
Exploring causal associations between serum inflammatory markers and female reproductive disorders: a Mendelian randomisation study
Biomolecules, MDPI 2024, Vol. 14, (12)
Alesi, Simon; Teede, Helena; Moran, Lisa; et al.
Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population: the Monash GDM Machine learning model
International Journal of Medical Informatics, Elsevier 2023, Vol. 179
Belsti, Yitayeh; Moran, Lisa; Du, Lan; et al.
Temporal validation and updating of a prediction model for the diagnosis of gestational diabetes mellitus
Journal of Clinical Epidemiology, Elsevier 2023, Vol. 164 : 54-64
Cooray, Shamil D.; De Silva Ranakombu, Kushan Kumara; Enticott, Joanne C.; et al.
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