GRD Journals- Global Research and Development Journal for Engineering | Volume 2 | Issue 2 | January 2017 ISSN: 2455-5703
A Modern Approach to Overcome the Stress Levels of Patients by Revealing Success Rate of the Specialist S. Laxmi Assistant Professor Department of Information Technology St. Martin’s Engineering College, Hyderabad Tata A S K Ishwarya Assistant Professor Department of Information Technology St. Martin’s Engineering College, Hyderabad
S. Sreeja Assistant Professor Department of Computer Science & Engineering St. Martin’s Engineering College, Hyderabad
Abstract In the current modern era people are prone to many diseases yet some are curable some are not. Diseases which are identified earlier stage can be rectified easily it is applicable same for both living and non-living things. For an instance non-living things be it a machine when a problem encountered in initial stage solved immediately will reduce the cost factor. Similarly if a disease is identified in early stage it would be curable and can be solved easily, where as in the final stage risk is more success factor cannot be predicted. When the person is in the final stage of the disease patient will go through the multiple feelings that is stress level will be increase because of which patient may not be positively respond to the treatment. If the problem can be solved in few months of span it would be increased to more months because of the stress level. Considering the same aspect to the machine, when a machine encounters the problem, the problem will be rectified by human being and machine will not bothered about the problem because it doesn’t get carried away by emotions. Keywords- Data Mining, curability, stress level, risk, initial stage, predicted
I. INTRODUCTION In the current medical scenario if a person encounter with disease the specialist will let the patient know the treatment procedure and if in case they are in the advanced stage they will explain about severity of the issue and they will not assure about complete success, because success or failure not in the hands of doctor but the way the patient responds to the treatment. The resultant factor is that the person is going through the stress level since they are not getting complete assurance from doctor; this stress level is in turn killing the person from inside. Health information seeking online is generally done by health consumers and these health consumers probably classified into patients relatives, patients friends and citizens in general [3]. Searching factors varies based on the search experience levels [2]. Health consumers who are educated generally prefer online healthcare through high speed internet that is available at home and work [11, 12]. Presently a research done on the search factor states that females will seek more information on internet than males [1, 4, 6, 8]. The world health organization indicates that 29% of the health consumers decide through internet whether they have to attend the particular doctor or not and to take appointment from the doctor or not [5]. In the latest pew internet project states that 59% of the newly diagnosed patients seek the second opinion and ask the questions to the doctor by means of internet [9]. Health information seekers generally feel reassure after having consulted health information sites [6, 5, 7, 10].
II. LITERATURE SURVEY A. Data Mining Applications In Healthcare Sector This paper discusses about data mining tools that are used to gain the relevant information in health care sector by removing irrelevant information, in this a comparative study has been done by using different methodologies and algorithms [3]. B. Better Healthcare with Data Mining In this paper they discussed about clinical practice and evidence based care using PASW modular and complex inter relational ships using decision making rules from complex data [7].
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