Dr Areti Manataki
Lecturer
Biography
I am a Lecturer in Computer Science and a health data scientist. In my research, I employ artificial intelligence methods to improve the delivery of healthcare services. I have extensive experience in leading innovative online and blended courses, including MOOCs and upskilling courses for professionals.
Prior to joining the University of St Andrews in 2020, I was a Senior Researcher and a Teaching and Research Fellow at the University of Edinburgh, where I also obtained my PhD.
I am a Fellow of the Higher Education Academy and a member of the Young Academy of Scotland.
Teaching
I currently teach on:
- CS5044: Information Visualisation
- CS5040: Human Computer Interaction Principles and Methods
Research areas
In my research I employ artificial intelligence methods to improve the delivery of healthcare services. I am particularly interested in AI-enabled process modelling and mining, workflow analysis, data visualisation and their applications in healthcare.
Examples of projects that I have been involved in include: the analysis of disease trajectories of multimorbidity with the use of data science methods; the use of routinely collected data to improve patient flow through hospital; and advanced data visualisation to communicate key medical messages extracted from cancer data.
PhD supervision
- Gen Li
- Thu Nguyen
Selected publications
-
Open access
Treatment seeking behaviours, antibiotic use and relationships to multi-drug resistance: a study of urinary tract infection patients in Kenya, Tanzania and Uganda
Sado, K., Keenan, K., Manataki, A., Kesby, M., Mushi, M. F., Mshana, S. E., Mwanga, J. R., Neema, S., Asiimwe, B., Bazira, J., Kiiru, J., Green, D. L., Ke, X., Maldonado-Barragán, A., Abed Al Ahad, M., Fredricks, K. J., Gillespie, S. H., Sabiiti, W., Mmbaga, B. T., Kibiki, G., & 6 others , 16 Feb 2024, In: PLOS Global Public Health. 4, 2, 20 p., e0002709.Research output: Contribution to journal › Article › peer-review
-
Open access
Discovering students’ learning strategies in a visual programming MOOC through process mining techniques
Rohani, N., Gal, K., Gallagher, M. & Manataki, A., 26 Mar 2023, Process mining workshops: ICPM 2022 international workshops, Bozen-Bolzano, Italy, October 23–28, 2022, revised selected papers. Montali, M., Senderovich, A. & Weidlich, M. (eds.). Cham: Springer Science and Business Media B.V., p. 539-551 13 p. (Lecture notes in business information processing; vol. 468).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Open access
Early prediction of student performance in a health data science MOOC
Rohani, N., Gal, K., Gallagher, M. & Manataki, A., 5 Jul 2023, Proceedings of the 16th international conference on educational data mining (EDM 2023). Feng, M., Käser, T. & Talukdar, P. (eds.). Online: International Educational Data Mining Society, p. 325–333 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Open access
Treatment seeking behaviours, antibiotic use and relationships to multi-drug resistance: a study of urinary tract infection patients in Kenya, Tanzania and Uganda
HATUA Consortium, 20 Mar 2023, medRxiv.Research output: Working paper › Preprint
-
Open access
Data science in undergraduate medicine: course overview and student perspectives
Doudesis, D. & Manataki, A., Mar 2022, In: International Journal of Medical Informatics. 159, 7 p., 104668.Research output: Contribution to journal › Article › peer-review
-
Open access
Stochastic workflow modeling in a surgical ward: towards simulating and predicting patient flow
Olling Back, C., Manataki, A., Papanastasiou, A. & Harrison, E., 2021, Biomedical Engineering Systems and Technologies: 13th International Joint Conference, BIOSTEC 2020, Valletta, Malta, February 24–26, 2020, Revised Selected Papers. Ye, X., Soares, F., De Maria, E., Gómez Vilda, P., Cabitza, F., Fred, A. & Gamboa, H. (eds.). Cham: Springer, p. 565-591 (Communications in Computer and Information Science; vol. 1400).Research output: Chapter in Book/Report/Conference proceeding › Chapter
-
Open access
Mining patient flow patterns in a surgical ward
Olling Back, C., Manataki, A. & Harrison, E., 18 Mar 2020, Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies. SciTePress, Vol. 5. p. 273-283 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution