Integrating Social Determinants of Health into Predictive Models: Assessing How Dremio Can Aggregate Diverse Data Sources to Enhance Predictive Modeling in Healthcare

Author(s)	Saurabh Gupta
Country	India
Abstract	This research suggests that SDOH can improve healthcare prediction models and mitigate health disparities. Predict at-risk individuals and improve health using non-clinical factors including money, education, housing, and care. Data isolation, privacy limitations, and information fusion make adoption challenging. The research emphasizes SDOH, sectoral coordination, and moral data preservation. Use modern data technology, streamline data transmission, and address SDOH's long-term healthcare impacts. Further research should focus on practical issues, enhance merging processes, and evaluate the reduction of healthcare inequalities in SDOH.
Keywords	Social Determinants of Health, Data isolation, information fusion, privacy limitations and modern data technology.
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-06-19
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.29755
Short DOI	https://doi.org/g8sg8d

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International Journal For Multidisciplinary Research