Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/4606
Title: The Fusion and Integration of Data Science and Healthcare
Authors: Kamba, Chido
Keywords: data science
healthcare
integration
technical barriers
training and awareness
Issue Date: 2025
Publisher: Africa University
Citation: Kamba, C. (2025). The fusion and integration of data science and healthcare (Undergraduate dissertation). Africa University, Mutare.
Abstract: This research focused on identifying and highlighting the significance of integrating data science techniques into the healthcare industry. The research involved exploring applications of data science in healthcare, addressing technical barriers, and developing strategies for successful integration. The collected data was analysed and compared with existing literature to validate the results. Findings showed that while the healthcare industry has had a brief introduction to data science techniques, there is need for improvement on implementing those techniques. Lack of adequate training, awareness, skill and exposure have affected the integration of data science techniques in health. This study is concluded with recommendations on how to effectively integrate and fuse data science and health.
URI: http://localhost:8080/xmlui/handle/123456789/4606
Appears in Collections:Department of Artificial Intelligence, Software Engineering and Computer Science

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