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The pairwise correlation analysis gives a stable mathematical equation model can be used for health risk analysis. The equation gives coefficient values from which classification regarding health insurance risk can be derived and quantified. The Logistic Regression equation model gives the maximum accuracy (86.32%) among the Ridge Bayesian and Ordinary Least Square algorithms. Machine learning algorithm based risk analysis approach was formulated and the series of experiments show that K-Nearest Neighbor classifier has the highest accuracy of 93.21% to do risk classification.<\/jats:p>","DOI":"10.3233\/kes-210065","type":"journal-article","created":{"date-parts":[[2021,7,27]],"date-time":"2021-07-27T17:18:27Z","timestamp":1627406307000},"page":"201-225","source":"Crossref","is-referenced-by-count":1,"title":["Risk assessment for health insurance using equation modeling and machine learning"],"prefix":"10.1177","volume":"25","author":[{"given":"Amrik","family":"Singh","sequence":"first","affiliation":[]},{"given":"K.R.","family":"Ramkumar","sequence":"additional","affiliation":[]}],"member":"179","reference":[{"key":"10.3233\/KES-210065_ref1","doi-asserted-by":"crossref","unstructured":"J.H. Condon, D.W. Hagelbarger and C.V.O.N. 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GOCICT 2014, 2014, pp. 36\u201341.","DOI":"10.1109\/GOCICT.2014.19"},{"issue":"1","key":"10.3233\/KES-210065_ref5","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.cmpb.2013.09.013","article-title":"Cloud based intelligent system for delivering health care as a service","volume":"113","author":"Kaur","year":"2014","journal-title":"Comput Methods Programs Biomed"},{"issue":"1","key":"10.3233\/KES-210065_ref6","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1109\/JBHI.2013.2262659","article-title":"Novel cloud and SOA-based framework for E-health monitoring using wireless biosensors","volume":"18","author":"Benharref","year":"2014","journal-title":"IEEE J Biomed Heal Informatics"},{"issue":"1","key":"10.3233\/KES-210065_ref7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/s17010176","article-title":"PlaIMoS: A remote mobile healthcare platform to monitor cardiovascular and respiratory variables","volume":"17","author":"Miramontes","year":"2017","journal-title":"Sensors (Switzerland)"},{"key":"10.3233\/KES-210065_ref8","doi-asserted-by":"crossref","unstructured":"P. Maia et al., A Web platform for interconnecting body sensors and improving health care, Procedia Comput. Sci 40(C) (2014), 135\u2013142.","DOI":"10.1016\/j.procs.2014.10.041"},{"key":"10.3233\/KES-210065_ref9","doi-asserted-by":"crossref","unstructured":"J.-X. Hu, C.-L. Chen, C.-L. Fan and K. Wang, An intelligent and secure health monitoring scheme using iot sensor based on cloud computing, J Sensors 2017 (2017).","DOI":"10.1155\/2017\/3734764"},{"issue":"5","key":"10.3233\/KES-210065_ref10","doi-asserted-by":"crossref","first-page":"1718","DOI":"10.1109\/JBHI.2014.2343632","article-title":"Designing robust and reliable timestamps for remote patient monitoring","volume":"19","author":"Clarke","year":"2015","journal-title":"IEEE J Biomed Heal informatics"},{"key":"10.3233\/KES-210065_ref11","doi-asserted-by":"crossref","unstructured":"S. Ismail, M. Alshmari, U. Qamar, W.H. Butt, K. Latif and H.F. Ahmad, HL7 FHIR Compliant Data Access Model for Maternal Health Information System, Proc. \u2013 2016 IEEE 16th Int. Conf. Bioinforma. Bioeng. BIBE 2016, 2016, pp. 51\u201356.","DOI":"10.1109\/BIBE.2016.9"},{"issue":"5","key":"10.3233\/KES-210065_ref12","first-page":"58","article-title":"Why innovation in health care is so hard","volume":"84","author":"Herzlinger","year":"2006","journal-title":"Harv Bus Rev"},{"issue":"4","key":"10.3233\/KES-210065_ref13","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1109\/TITB.2010.2104326","article-title":"Mobility support for health monitoring at home using wearable sensors","volume":"15","author":"Gonzalez-Valenzuela","year":"2011","journal-title":"IEEE Trans Inf Technol Biomed"},{"issue":"1","key":"10.3233\/KES-210065_ref14","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1147\/sj.461.0095","article-title":"Remote health-care monitoring using Personal Care Connect","volume":"46","author":"Blount","year":"2007","journal-title":"IBM Syst J"},{"issue":"5","key":"10.3233\/KES-210065_ref15","doi-asserted-by":"crossref","first-page":"4676","DOI":"10.3390\/ijerph110504676","article-title":"A lightweight web of things open platform to facilitate context data management and personalized healthcare services creation","volume":"11","author":"Corredor","year":"2014","journal-title":"Int J Environ Res Public Health"},{"issue":"5","key":"10.3233\/KES-210065_ref16","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1109\/MWC.2016.7721743","article-title":"Long-range communications in unlicensed bands: The rising stars in the IoT and smart city scenarios","volume":"23","author":"Centenaro","year":"2016","journal-title":"IEEE Wirel Commun"},{"key":"10.3233\/KES-210065_ref17","doi-asserted-by":"crossref","unstructured":"M. Brito, L. Vale, P. Carvalho and J. Henriques, A sensor middleware for integration of heterogeneous medical devices, in Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, 2010, pp. 5189\u20135192.","DOI":"10.1109\/IEMBS.2010.5626267"},{"issue":"4","key":"10.3233\/KES-210065_ref18","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1109\/MWC.2013.6590049","article-title":"Integration of wearable devices in a wireless sensor network for an E-health application","volume":"20","author":"Castillejo","year":"2013","journal-title":"IEEE Wirel Commun"},{"key":"10.3233\/KES-210065_ref19","first-page":"1","article-title":"Power optimization of device-to-device communication underlaying cellular communication","author":"Yu","year":"2009","journal-title":"IEEE Int Conf Commun"},{"issue":"9","key":"10.3233\/KES-210065_ref20","doi-asserted-by":"crossref","first-page":"11734","DOI":"10.3390\/s120911734","article-title":"Overview and evaluation of bluetooth low energy: An emerging low-power wireless technology","volume":"12","author":"Gomez","year":"2009","journal-title":"Sensors (Switzerland)"},{"issue":"12","key":"10.3233\/KES-210065_ref21","doi-asserted-by":"crossref","first-page":"2515","DOI":"10.1109\/TCSI.2005.858187","article-title":"Ultra-wide-band transmitter for low-power wireless body area networks: Design and evaluation","volume":"52","author":"Ryckaert","year":"2005","journal-title":"IEEE Trans Circuits Syst I Regul Pap"},{"issue":"11","key":"10.3233\/KES-210065_ref22","doi-asserted-by":"crossref","first-page":"3090","DOI":"10.1109\/TBME.2012.2207896","article-title":"Mobile voice health monitoring using a wearable accelerometer sensor and a smartphone platform","volume":"59","author":"Mehta","year":"2012","journal-title":"IEEE Trans Biomed Eng"},{"key":"10.3233\/KES-210065_ref23","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.adhoc.2016.11.001","article-title":"Heterogeneous ad hoc networks: Architectures, advances and challenges","volume":"55","author":"Qiu","year":"2017","journal-title":"Ad Hoc Networks"},{"key":"10.3233\/KES-210065_ref24","doi-asserted-by":"crossref","unstructured":"S. Safaric and K. Malaric, ZigBee wireless standard, in Multimedia Signal Processing and Communications, 48th International Symposium ELMAR-2006 focused on, 2006, pp. 259\u2013262.","DOI":"10.1109\/ELMAR.2006.329562"},{"key":"10.3233\/KES-210065_ref25","doi-asserted-by":"crossref","unstructured":"P. Lopez-Iturri, S. Led, E. Aguirre, L. Azpilicueta, L. Serrano and F. Falcone, Analysis of bluetooth-based wireless sensor networks performance in hospital environments, Multidisciplinary Digital Publishing Institute Proceedings 1(2) (2016), 2.","DOI":"10.3390\/ecsa-3-D001"},{"key":"10.3233\/KES-210065_ref26","doi-asserted-by":"crossref","unstructured":"S.-L. Chen, H. Lee, C. Chen, C. Lin and C. Luo, A wireless body sensor network system for healthcare monitoring application, IEEE Biomed Circuits Syst Conf, 2007, pp. 243\u2013246.","DOI":"10.1109\/BIOCAS.2007.4463354"},{"key":"10.3233\/KES-210065_ref27","doi-asserted-by":"crossref","unstructured":"R.J. Koene, A.E. Prizment, A. Blaes and S.H. Konety, Contemporary Reviews in Cardiovascular Medicine Shared Risk Factors in Cardiovascular Disease and Cancer, No. Cvd, 2016, pp. 1104\u20131115.","DOI":"10.1161\/CIRCULATIONAHA.115.020406"},{"issue":"4","key":"10.3233\/KES-210065_ref28","doi-asserted-by":"crossref","first-page":"225","DOI":"10.4103\/0019-557X.123249","article-title":"Universal health care in India: Panacea for whom","volume":"57","author":"Qadeer","year":"2013","journal-title":"Indian J Public Health"},{"issue":"9960","key":"10.3233\/KES-210065_ref29","doi-asserted-by":"crossref","first-page":"2164","DOI":"10.1016\/S0140-6736(14)60075-1","article-title":"An assessment of progress towards universal health coverage in Brazil, Russia, India, China, and South Africa (BRICS)","volume":"384","author":"Marten","year":"2014","journal-title":"Lancet"},{"issue":"9","key":"10.3233\/KES-210065_ref31","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1109\/JSEN.2010.2045498","article-title":"SHIMMERTM \u2013 A wireless sensor platform for noninvasive biomedical research","volume":"10","author":"Burns","year":"2010","journal-title":"IEEE Sens J"},{"key":"10.3233\/KES-210065_ref32","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.comnet.2016.01.009","article-title":"Cloud-assisted Industrial Internet of Things (IIoT) \u2013 Enabled framework for health monitoring","volume":"101","author":"Hossain","year":"2016","journal-title":"Comput Networks"},{"key":"10.3233\/KES-210065_ref33","doi-asserted-by":"crossref","unstructured":"M. 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Moskovitch and Y. Shahar, Classification-driven temporal discretization of multivariate time series 29(4) (2015).","DOI":"10.1007\/s10618-014-0380-z"},{"key":"10.3233\/KES-210065_ref41","first-page":"1","article-title":"Enhancing health risk prediction with deep learning on big data and revised fusion node paradigm","volume":"2017","author":"Zhong","year":"2017","journal-title":"Sci Program"},{"issue":"4","key":"10.3233\/KES-210065_ref42","first-page":"310","article-title":"An overview of data mining techniques applied for heart disease diagnosis and prediction","volume":"2","author":"Alzahani","year":"2015","journal-title":"Lect Notes Inf Theory"},{"key":"10.3233\/KES-210065_ref43","doi-asserted-by":"crossref","unstructured":"H. Jiang and W.K. 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Hassanalieragh et al., Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges, in 2015 IEEE International Conference on Services Computing, 2015, pp. 285\u2013292.","DOI":"10.1109\/SCC.2015.47"},{"issue":"5","key":"10.3233\/KES-210065_ref52","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1016\/j.ijinfomgt.2015.04.010","article-title":"Reflective thoughts on the potential and challenges of wearable technology for healthcare provision and medical education","volume":"35","author":"Sultan","year":"2015","journal-title":"Int J Inf Manage"},{"key":"10.3233\/KES-210065_ref54","doi-asserted-by":"crossref","unstructured":"G. Suciu et al., Big Data, Internet of things and cloud convergence \u2013 an architecture for secure e-health applications, J Med Syst 39(11) (2015).","DOI":"10.1007\/s10916-015-0327-y"},{"issue":"1","key":"10.3233\/KES-210065_ref55","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1109\/JSYST.2015.2460747","article-title":"Health-CPS: Healthcare cyber-physical system assisted by cloud and big data","volume":"11","author":"Zhang","year":"2017","journal-title":"IEEE Syst J"},{"issue":"1","key":"10.3233\/KES-210065_ref56","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.cegh.2016.03.002","article-title":"Insurance coverage under different health schemes in Uttar Pradesh, India","volume":"5","author":"Singh","year":"2017","journal-title":"Clin Epidemiol Glob Heal"},{"key":"10.3233\/KES-210065_ref57","first-page":"1","article-title":"Development of a tele-healthcare system based on the HL7 standard","author":"Lee","year":"2014","journal-title":"Proc. Int. Symp. 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Menouar, Design and Implementation of a Sustainable Wireless BAN Platform for Remote Monitoring of Workers Health Care in Harsh Environments, in 2014 6th International Conference on New Technologies, Mobility and Security (NTMS), 2014, pp. 1\u20135.","DOI":"10.1109\/NTMS.2014.6814014"},{"issue":"3","key":"10.3233\/KES-210065_ref62","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1002\/sim.2232","article-title":"A method for fitting regression splines with varying polynomial order in the linear mixed model","volume":"25","author":"Edwards","journal-title":"Stat Med"},{"key":"10.3233\/KES-210065_ref63","unstructured":"J. Han, M. Kamber and J. Pei, Data mining: concepts and techniques, Elsevier Science, 2011."},{"issue":"5","key":"10.3233\/KES-210065_ref64","doi-asserted-by":"crossref","first-page":"23","DOI":"10.5121\/ijwmn.2015.7502","article-title":"Implementation of Zero proof algorithm for extended wireless body sensor networks","volume":"7","author":"Garg","year":"2015","journal-title":"Int J Wirel Mob Networks"},{"key":"10.3233\/KES-210065_ref65","unstructured":"A. Singh and K. Ramkumar, Health Risk Dataset. mendelay, 2018."},{"key":"10.3233\/KES-210065_ref67","unstructured":"A. Singh and K. 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Mills, H. He, J. Chen, P.K. Whelton and J. 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