An Overview of Data Science Innovations, Challenges and Limitations Towards Real-World Implementations in Global Health

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dc.contributor.authorKimera, Richard
dc.contributor.authorKaggwa, Fred
dc.contributor.authorMwavu, Rogers
dc.contributor.authorMugonza, Robert
dc.contributor.authorTumuhimbise, Wilson
dc.contributor.authorMunguci, Gloria
dc.contributor.authorKamuganga, Francis
dc.date.accessioned2022-06-14T07:33:50Z
dc.date.available2022-06-14T07:33:50Z
dc.date.issued2020
dc.description.abstractHealth institutions are increasingly collecting vast amounts of patient data. However, mining data from those different institutions is not possible for various challenges. In this chapter, we will report on our experience on the trend of Data Science in Global Health in Uganda. The aim is to provide an insight into their challenges and limitations towards real-world implementation of a data science approach in global health.We also present a series of digital health projects that we implemented during the course of the project, and provide a critical assessment of the success and challenges of those implementations.en_US
dc.identifier.citationKimera, R., Kaggwa, F., Mwavu, R., Mugonza, R., Tumuhimbise, W., Munguci, G., & Kamuganga, F. (2020). Mbarara University of Science and Technology (MUST). In Leveraging Data Science for Global Health (pp. 329-350). Springer, Cham.en_US
dc.identifier.urihttp://ir.must.ac.ug/handle/123456789/2112
dc.language.isoen_USen_US
dc.subjectData scienceen_US
dc.subjectGlobal healthen_US
dc.subjectDigital health literacyen_US
dc.subjectInformation and communication technology (ICT)en_US
dc.subjectInnovationen_US
dc.titleAn Overview of Data Science Innovations, Challenges and Limitations Towards Real-World Implementations in Global Healthen_US
dc.typeBooken_US

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