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
Selected publications
-
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