Indian Healthcare Service: A Study on Data Mining and Genetic Algorithm

The application of data-mining techniques provides a powerful approach to manipulate and extract useful information from existing data. It allows the learning of information from hidden data that could be used for future predictions. Accurate demand forecasting of any service has beena challenging research problem. Data mining has different techniques that could support demand prediction in the healthcare services. In our proposed method, the hospital-related profile is generated through the primary source of data mining in the form of questionnaire survey. The main intention of our method is to provide better healthcare services over the rural areas in terms of prediction of the chief hospitals with required basic facilities around that particular area. Accordingly, a questionnaire survey is made for collecting the relevant hospital data around the Odisha region. Then, the concept of data mining is utilised to extract the data from the questionnaire. Further, Incremental Spanning algorithm is introduced here for the mining of data from the questionnaire. In the questionnaire, appropriate score values were assigned for each category based on the requirement. Moreover, the hospitals satisfying all the required components within the questionnaire have to be determined for predicting the better hospitals. So the Genetic Algorithm is introduced so as to determine the maximum of the score values To obtain the score values he input like Qualification (Q), Designation (D), Experience (E), Good clinical examination (GCE), Good diagnosis (GD), Adequate medical equipment (AME), Neat and clean hospital premises (NCHP), Ease of obtaining drugs (EOD), Speed of Service (SS) and General safety (GS)of the hospital data are given due importance Finally, the rank of first five supreme hospitals is determined around the Odisha region. Here, the ranking is made on the basis of hospital data having maximum score values (i.e. the hospitals satisfying most of all the surveyed basic requirements). The proposed technique is implemented in the working platform of JAVA and the results were analysed. Moreover, comparisons with existing technologies were also provided to assess the performance of proposed method.