Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/4606
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKamba, Chido-
dc.date.accessioned2025-11-06T08:06:21Z-
dc.date.available2025-11-06T08:06:21Z-
dc.date.issued2025-
dc.identifier.citationKamba, C. (2025). The fusion and integration of data science and healthcare (Undergraduate dissertation). Africa University, Mutare.en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/4606-
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publisherAfrica Universityen_US
dc.subjectdata scienceen_US
dc.subjecthealthcareen_US
dc.subjectintegrationen_US
dc.subjecttechnical barriersen_US
dc.subjecttraining and awarenessen_US
dc.titleThe Fusion and Integration of Data Science and Healthcareen_US
dc.typeOtheren_US
Appears in Collections:Department of Artificial Intelligence, Software Engineering and Computer Science

Files in This Item:
File Description SizeFormat 
Kamba, Chido. 2025. The Fusion and Integration of Data Science and Healthcare.pdf1.59 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.