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Evolution of Computational Intelligence in Modern Medicine for Health Care Informatics

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Translating Healthcare Through Intelligent Computational Methods

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

In more ways than just one, health care facilities have altered dramatically during the previous 20 years. They have entirely transformed from their previous state to their current state. Patients’ and society’s requirements have changed, technology is more advanced than it has ever been, and health care costs are decreasing. Another essential point to consider is the advancement of health care information systems in medicine and informatics. All of the changes that have occurred in health care facilities have impacted not only the patients but also the personnel and the communities. As health care organizations and delivery models evolve, so do personnel roles, responsibilities, and training requirements. The health care industry has historically been an early adopter of technological improvements and has reaped significant benefits. Patients are now able to access a specific website where they can talk freely with a physician. After joining and interacting with a physician, the patient is able to explain their symptoms to the physician via instant messaging or email, and then wait for a physician to reply to their concerns. Machine learning (an artificial intelligence [AI] subset) is being used in a variety of health-related fields, including the invention of new medical treatments, the management of patient data and records, and the treatment of chronic diseases. Other potential machine-learning breakthroughs in health care include looking into methods to employ the technology in telemedicine. The assumption that AI and related services and platforms would revolutionize global productivity, working patterns, and lifestyles, as well as create massive wealth, is well-established. These computational techniques are capable of analyzing enormous amounts of data maintained by health care organizations in the form of photographs, research trials, and medical claims, and identifying patterns and insights that are typically invisible by integrating human skill sets.

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Correspondence to R. Manju .

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Manju, R., Harinee, P., Gangolli, S.S., Bhuvana, N. (2023). Evolution of Computational Intelligence in Modern Medicine for Health Care Informatics. In: Ram Kumar, C., Karthik, S. (eds) Translating Healthcare Through Intelligent Computational Methods. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-27700-9_24

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  • DOI: https://doi.org/10.1007/978-3-031-27700-9_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-27699-6

  • Online ISBN: 978-3-031-27700-9

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