Research output per year
Research output per year
Personal profile
Research Biography
Shelda is a Research Associate at Flinders Digital Health Research Centre. Shelda is the project lead of one of the Shandong Flinders Joint project (Machine Learning for improving Heart Disease Risk Prediction) and principal investigator of AI €“ PREDICT (The utility of health data and predictive analytics in developing prognostic cardiac event and mortality models for patients presenting to the emergency department) project. Her research expertise in pattern recognition, image processing, medical image analysis, data analysis and machine learning.
Research Interests
Medical Image Analysis, Data Analysis, Mammography, Image processing, Pattern recognition, Computer vision, Artifical Intelligence
Supervisory Interests
- Medical image analysis
- Data science
- Artificial intelligence and image processing
- Pattern recognition
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Collaborations and top research areas from the last five years
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Effectiveness of cardiac rehabilitation programs on medication adherence in patients with cardiovascular disease: A systematic review and meta-analysis
Gebremichael, L. G., Champion, S., Nesbitt, K., Pearson, V., Bulamu, N. B., Dafny, H. A., Sajeev, S., Pinero de Plaza, M. A., Ramos, J. S., Suebkinorn, O., Gulyani, A., Bulto, L. N., Beleigoli, A., Hendriks, J. M., Hines, S., Clark, R. A. & On behalf of the NHMRC CHAP Project Team, Mar 2024, In: International Journal of Cardiology: Cardiovascular Risk and Prevention. 20, 8 p., 200229.Research output: Contribution to journal › Review article › peer-review
Open AccessFile2 Citations (Scopus)64 Downloads (Pure) -
Classification of Respiratory Diseases with Respiratory Sounds with Deep Learning Algorithm
Majumdar, N. K., Christa, S., Manek, A. S. & Sajeev, S., 14 Jul 2023, 2022 IEEE International Conference for Women in Innovation, Technology and Entrepreneurship (ICWITE) : Proceedings. United States: Institute of Electrical and Electronics Engineers, p. 1-4 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Understanding critical success factors for implementing medical tourism in a multi-case analysis
Akhavan, P., Azizi, N., Akhtari, S., Haass, O., Jan, T. & Sajeev, S., Mar 2023, In: Knowledge Management and E-Learning. 15, 1, p. 43-63 21 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)13 Downloads (Pure) -
Evolutionary Population Dynamic Mechanisms for the Harmony Search Algorithm
Mirjalili, S. Z., Sajeev, S., Saha, R., Khodadadi, N., Mirjalili, S. M. & Mirjalili, S., 2022, Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications. Kim, J. H., Deep, K., Geem, Z. W., Sadollah, A. & Yadav, A. (eds.). Singapore: Springer Singapore, p. 185-194 10 p. (Lecture Notes on Data Engineering and Communications Technologies; vol. 140).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access3 Citations (Scopus) -
Machine learning models for identifying pre-frailty in community dwelling older adults
Sajeev, S., Champion, S., Maeder, A. & Gordon, S., 12 Oct 2022, In: BMC Geriatrics. 22, 12 p., 794.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Citations (Scopus)48 Downloads (Pure)