Employees working in various professions & occupations are prone to face varieties of health problems due to work pressure. The level of increasing work pressure as assessed by the perception of having little control but lots of demands have been demonstrated to be associated with increased rate of health issues such as hypertension, back pain, feeling fatigued, headaches, disorders and sometimes heart attack. Work pressure also causes accidents, diminished productivity, medical, legal and financial costs. In healthcare industry, data mining plays an essential role for predicting diseases of employees under work pressure. High volume of data that can be generated for the prediction of diseases of employees is analyzed traditionally and is too complicated along with voluminous to be processed. Data Mining provides the methods and techniques for transformation of the data into useful information for decision making. These techniques can make process fast and take less time to predict the diseases of employees under work pressure with more accuracy to improve their health in advance.

Data Mining, Predicting Disease, Work Pressure, Healthcare, Decision Making

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