Titlebook: Leveraging Data Science for Global Health; Leo Anthony Celi,Maimuna S. Majumder,Melek Somai Textbook‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applic

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Developing Local Innovation Capacity to Drive Global Health Improvementsand middle-income countries (LMICs) (Syed et al. in Global Health 9:36, .). Yet there is a growing recognition that there is real potential for “bi-directional flow of knowledge, ideas, skills and innovation” (Syed et al. .). To generate sustainable impact at scale, high-income countries should furt

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Building Electronic Health Record Databases for Researchdata hoarded within hospitals worldwide. There is enormous potential in the secondary analysis of this clinical data, leveraging data already collected in everyday medical practice, we could gain insight into the clinical decision-making process and it’s impact on patient outcomes. In this chapter w

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Funding Global Health Projectsinnovation using data science and technology. One of the major barriers to translating their ideas into practice is the lack of financial resources. Without adequate funding, many of the critical issues regarding the development, implementation, and impact of technology innovations—including whether

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Applied Statistical Learning in Pythonng. It is primarily aimed at beginners who want a gentle, succinct guide to jumpstart their journey into practical machine learning and its applications in medicine. Thus, it is by no means a comprehensive guide on machine learning or Python. Rather, my hope is to present basic concepts in a simple,