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Updated: Mar 13, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
Published on: July 22, 2025
Transforming big data into computational models for personalized medicine and health care
S M Reza Soroushmehr1, Kayvan Najarian1
1Emergency Medicine Department, University of Michigan, Ann Arbor, Michigan, USA; University of Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bio-informatics, University of Michigan, Ann Arbor, Michigan, USA.
Abstract:
Health care systems generate a huge volume of different types of data. Due to the complexity and challenges inherent in studying medical information, it is not yet possible to create a comprehensive model capable of considering all the aspects of health care systems. There are different points of view regarding what the most efficient approaches toward utilization of this data would be. In this paper, we describe the potential role of big data approaches in improving health care systems and review the most common challenges facing the utilization of health care big data.
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