Data Mining& Health Care: Techniques of Application

Abstract

ABSTRACT:The issue of health care assumes prime importance for the society and is a significant indicator of social development. Health is clearly not the mere absence of disease but confers on a person or group"s freedom from illness and the ability to realize one"s potential. Health is therefore best understood as the indispensable basis for defining a person"s sense of well-being. The delivery of health care services thus assumes greater proportion, and in this context the role played by information and communication technology has certainly a greater contribution for its effective delivery mechanism. The application of data mining is specifically relevant and it has been successfully applied in medical needs for its reliable precision accuracy and expeditious beneficial results. The various available application techniques have been discussed and analyzed for the purpose of the paper.

Expedite Knowledge in Minining with Resolute Applications

“…A number of info a mining uses mentioned on top of square measure mentioned below briefly. Details square measure on the market in [2], [13] and also the references in this.…”

“…Data's processing offers nice profit within the care system, it's not an easy task. a number of the, hallenges of knowledge applications of mining in attention network area unit mentioned at [2], [13]. one of the most important obstacles of knowledge mining within the attention is that the applicable information is heterogeneous and voluminous.…”

An Innovative Prototype for Diagnosing and Treatment of Breast Cancer: A Case Study of Specialist Hospital Gombe

“…One of the challenges faced by healthcare organizations is the lack of provision of quality service which includes, a poor diagnosis which can lead to disastrous consequences [10]. Such challenges can be addressed by using suitable decision support systems and computer-based information that have the ability to computationally analyze data that is stored in the diagnostic/treatment records of millions of patients [11].…”

“…The automation of the procedure of diagnosis would be highly beneficial [3]. Frequently, clinical decisions are performed on the basis of a doctor's experience and intuition [10], diagnosing a breast tumor as either benign or malignant which can be done by studying the biopsy report to detect the attributes of the tumor is one of the interesting aspects of software development [5], therefore, correct diagnosis of breast cancer is essential for patients to receive timely and correct treatment [1].…”