Smart Home based Big Data Analysis for Healthcare Applications
R.Ramprashath1, R.Gomathi2, V.Ananthanarayanan3, J.Ashok Lingam Mahipaul4
1R.Gomathi, Assistant Professor, Department of MCA, Karpagam College of Engineering, Coimbatore, India.
2R.Gomathi, Assistant Professor, Department of MCA, Karpagam College of Engineering, Coimbatore, India.
3V.Ananthanarayanan, Student, Department of MCA, Karpagam College of Engineering, Coimbatore, India.
4J.Ashok Lingam Mahipaul, Assistant Professor, Department of Computer Science, Sri Sankara Bhagavathi Arts and Science College, Tirunelveli, India.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 19, 2020. | Manuscript published on May 30, 2020. | PP: 275-282 | Volume-9 Issue-1, May 2020. | Retrieval Number: A1406059120/2020©BEIESP | DOI: 10.35940/ijrte.A1406.059120
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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: At present, there is a constant migration of people is encountered in urban regions. Health care services are considered as a confronting challenging factors, there is an extremely influenced by huge arrival of people to city centre. Subsequently, places all around the world are spending in digital evolution in an attempt to offer healthy eco-system for huge people. With this transformation, enormous homes are equipped with smarter devices (for example, sensors, smart sensors and so on) which produce huge amount of indexical data and fine-grained that is examined to assist smart city services. In this work, a model has been anticipated to utilize smart home big data analysis as a discovering and learning human activity patterns for huge health care applications. This work describes and highlights the experimentation with the analysis of vigorous data analysis process that assists healthcare analytics. This procedure comprises of subsequent stages: understanding, collection, cleaning, validation, enrichment, integration and storage. It has been resourcefully utilized to processing of data types variety comprising clinical data from EHR.
Keywords: Electronic healthcare record, Transformation, smart city, Activity patterns, Human activity pattern.
Scope of the Article: Big Data Analytics and Business Intelligence