Introduction to computational intelligence in healthcare

Abstract

With the evolution of lots of data in healthcare, the complexity of managing and handling the data also increases. To manage this complex issue, computational techniques (CI) nowadays can be applied in the healthcare field. The applications for health information help us to support patient care systems and reduce human error. Many CI techniques are already in use by life science companies, and care providers and users are paying for them to get the facilitation. The key applications of these technologies include the treatment and diagnosis of patients, adherence and engagement of patients, and many management activities. Many healthcare tasks are performed with greater care and accuracy using CI techniques; however, the healthcare industry requires 100% accuracy for medical diagnosis and further treatment which is still a challenging problem. In this chapter, from a management perspective, various CI healthcare applications, along with their challenges, have been discussed in brief. It has been observed that there are many instances that prove that the use of CI improves accuracy in healthcare tasks compared to humans. However, various implementation issues of CI in healthcare will prevent its large-scale automation. Ethical issues are also explored in this chapter.

Ähnliche Arbeiten