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  1. Hybrid Efficient Genetic Algorithm for Big Data Feature Selection Problems.Tareq Abed Mohammed, Oguz Bayat, Osman N. Uçan & Shaymaa Alhayali - 2020 - Foundations of Science 25 (4):1009-1025.
    Due to the huge amount of data being generating from different sources, the analyzing and extracting of useful information from these data becomes a very complex task. The difficulty of dealing with big data optimization problems comes from many factors such as the high number of features, and the existing of lost data. The feature selection process becomes an important step in many data mining and machine learning algorithms to reduce the dimensionality of the optimization problems and increase the performance (...)
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  • Transformation of the Doctor–Patient Relationship: Big Data, Accountable Care, and Predictive Health Analytics.Seuli Bose Brill, Karen O. Moss & Laura Prater - 2019 - HEC Forum 31 (4):261-282.
    The medical profession is steeped in traditions that guide its practice. These traditions were developed to preserve the well-being of patients. Transformations in science, technology, and society, while maintaining a self-governance structure that drives the goal of care provision, have remained hallmarks of the profession. The purpose of this paper is to examine ethical challenges in health care as it relates to Big Data, Accountable Care Organizations, and Health Care Predictive Analytics using the principles of biomedical ethics laid out by (...)
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