Abstract
Healthcare analytics is a rapidly growing industry. Healthcare analytics have the potential to reduce cost of treatment, avoid preventable disease and improve the quality of life. This paper is an application of big data analytics in healthcare. A co-relation analysis on clinical big data from clinical reports and doctor’s notes are performed. Doctors consider similarity between health parameters to take better decisions. The co-relation analysis of health parameter is being used to cluster the patients based on similarity. Finally random model is designed to predict future health condition of most co-related patients based on the current health status. The future health prediction helps the monitoring of patients in diagnosis process. The system used modified future health prediction algorithm which is capable of predicting one or more diseases, which increase the possibilities of algorithm in health care. The performance evaluation gives about 97% of accuracy.
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Thasni, K.M., Haroon, R.P. (2020). Application of Big Data in Health Care with Patient Monitoring and Future Health Prediction. In: Smys, S., Senjyu, T., Lafata, P. (eds) Second International Conference on Computer Networks and Communication Technologies. ICCNCT 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 44. Springer, Cham. https://doi.org/10.1007/978-3-030-37051-0_6
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DOI: https://doi.org/10.1007/978-3-030-37051-0_6
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