The following thesis was written by a student who graduated in 2021-2022 from the Master Computer Science programme at Leiden University.


Thesis details

TitleExploring the Predictability of Bacterial Vaginosis in Reproductive Age Women using Longitudinal Vaginal Microbe Abundance and pH Data
StudentOudshoorn, S.
ProgrammeMaster Computer Science
Year2021-2022
SupervisorsCao, dr. L. (Lu)
Dr. CJ Jenkins (second supervisor)
Thesis Open Thesis PDF

Citation details

Oudshoorn, S., Exploring the Predictability of Bacterial Vaginosis in Reproductive Age Women using Longitudinal Vaginal Microbe Abundance and pH Data, Thesis Master Computer Science, LIACS, Leiden University, 2022.