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Text Mining in Health Care Sector Techniques, Applications and Challenges | IEEE Conference Publication | IEEE Xplore

Text Mining in Health Care Sector Techniques, Applications and Challenges


Abstract:

A large amount of information is generated across the globe through various IT enabled services. Health care industry has turned out to be the most significant and inform...Show More

Abstract:

A large amount of information is generated across the globe through various IT enabled services. Health care industry has turned out to be the most significant and information-rich area. The term Health care is gaining popularity due to the improvement in medical science and the prevalence of new and peculiar diseases. In recent years, there is increased usage of electronic personal health care devices and consulting physicians for various illnesses that are gaining insight. Medical records are generated every second from hospital visits, inpatient wards and health care devices. These records that turn to become big data require a lot of analyses and predictions. Text mining is a broad field that needs more mining in the medical records as there are structured, semi-structured and unstructured data. This paper depicts/overlays the study of algorithms, tools and techniques involved in text mining for health care data.
Date of Conference: 06-08 May 2021
Date Added to IEEE Xplore: 26 May 2021
ISBN Information:
Conference Location: Madurai, India

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