Ontology Based Text Mining Framework for Vulnerability Assessment in Health and Social Care
Jamilah Nasution1, Phong Thanh Nguyen2, Muhamad Rusliyadi3, E. Laxmi Lydia4, K. Shankar5
1Jamilah Nasution, Universitas Medan Area, Indonesia.
2Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University, Vietnam.
3Muhamad Rusliyadi, Polytechnic of Agricultural Development Yogyakarta-Magelang, Agricultural Extension and Human Resource Development Agency, Ministry of Agriculture, Indonesia.
4E. Laxmi Lydia, Professor, Vignan’s Institute of Information Technology (A), Department of Computer Science and Engineering, Visakhapatnam (A.P), India.
5K. Shankar, Department of Computer Applications, Alagappa University, India.
Manuscript received on 20 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3809-3813 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B15000982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1500.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The measure of advanced data that is made and utilized is gradually growing alongside the development of refined equipment and programming. What’s more, true information arrive in a decent variety of structures and can be massively cumbersome. This has increased the requirement for great procedures that can find and uncover engaging realities and valuable data from these information. Text Mining (TM), which is an intricate procedure; has been effectively utilized for this reason. Text mining on the other hand alluded to as content data mining, pretty much identical to content examination, can be characterized as the way toward extricating great data from content. Text mining includes the way toward organizing the information, determining designs inside the organized information and in conclusion translation and disclosure of the yield. This paper gives overview on Text mining. Toward the end, this paper presents ontology system to adapt up to extreme social media textual data. We depict vulnerability assessment model intended to help patient management in health and social care. Such a framework isn’t intended to supplant existing health and social assessment models but instead to supplement them by giving an all-encompassing image of the vulnerabilities looked by a given patient. Actually, it ought to be viewed as a screening tools for health and social care workers. One key part of the demonstrating structure is the capacity to give customized at this point multi-dimensional assessments of risk of dependent on fragmented data about the patient status, similar to the case in screening situations.
Keywords: Ontology, Information Retrieval, Text Mining etc.
Scope of the Article: Text Mining