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              <text>Harnessing Medical Databases and Data Mining in the Big Data Era: Advancements and Applications in Healthcare</text>
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              <text>Big data; Data mining; Medical database</text>
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              <text>In the contemporary period of Big Data, the healthcare industry is witnessing a transformative paradigm shift, propelled by the convergence of medical databases and data mining technology. This research paper delves into the multifaceted application of this synergy, offering a comprehensive overview of its implications and opportunities. With the exponential growth of healthcare data, the utilisation of medical databases serves as the bedrock for data mining techniques, fostering critical advancements in diagnosis, treatment, and patient care. Through this research, we explore the integration of electronic health records, genomic data, and clinical databases, unveiling new dimensions of predictive analytics, patient profiling, and disease monitoring. Moreover, we assess the ethical and privacy concerns entailed in this data-rich landscape, emphasising the need for robust governance and security measures. Our paper encapsulates the evolving landscape of health care, demonstrating the immense potential and the ethical responsibilities accompanying this groundbreaking merger of technology and medicine in the period of Big Data.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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              <text>Ranjith Kumar G.; Nassa V.K.; Manikandan K.; Suribabu P.; Pandian P.M.; Acharjee P.B.</text>
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              <text>Smart Innovation, Systems and Technologies, Vol-390, pp. 153-165.</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-97-2716-2_15" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-97-2716-2_15&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201065839&amp;amp;doi=10.1007%2F978-981-97-2716-2_15&amp;amp;partnerID=40&amp;amp;md5=04d6a7d2f8f154bab88d600fac72df21" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201065839&amp;amp;doi=10.1007%2f978-981-97-2716-2_15&amp;amp;partnerID=40&amp;amp;md5=04d6a7d2f8f154bab88d600fac72df21&lt;/a&gt;</text>
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              <text>ISSN: 21903018; ISBN: 978-981972715-5</text>
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              <text>Ranjith Kumar G., School of Computer Science and Artificial Intelligence, SR University, Telangana, Warangal, India; Nassa V.K., Department of Information Communication Technology (ICT), Tecnia Institute of Advanced Studies(Delhi), Affiliated With Guru Gobind Singh Indraprastha University, Delhi, India; Manikandan K., Department of Pharmaceutical Analysis, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur, Kanchipuram, SRM Nagar, 603203, India; Suribabu P., Computer Science and Engineering, JNTU Hyderabad, Hyderabad, India; Pandian P.M., Department of Chemistry, Saveetha Engineering College, Chennai, Thandalam, India; Acharjee P.B., Computer Science, CHRIST University Pune Lavasa Campus, Lavasa, India</text>
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