• Rashmi K
• R Gayathri
• Sneha sureddy
• Vijayalakshmi M S

The remarkable enthusiasm for enormous information has cleared path for expanded innovations. One of the significant handiness of enormous information is found in the field of human services examination. The medicinal services information originate from shifted sources. Explicitly EHR information give an exhaustive perspective of patient's wellbeing. Individuals are giving careful consideration to their wellbeing and need the most ideal medicinal services particularly with new innovations advancing once in a while. We can examine this cosmic patient's data and attempt to consider certain examples, which can give us the better comprehension of the information present. In this investigation a neurological data set of thousand patients has been gathered from a medical clinic. Out of this information the specific instances of head damage are considered and explicit characteristics like heartbeat rate, pulse, Glasgow extreme lethargic scale, respiratory rate, CNS are contemplated and broke down. The investigation is performed based on two variables: span of patient's stay in the emergency clinic and reality dimension of the damage. A characterization demonstrate is set up on the information and the usage is completed in R Programming, utilizing its factual bundles and graphical capacities.

classification; pattern recognition; EHR; healthcare analytics, data mining

"Healthcare Data Modeling in big data analytics using R", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.522-525, April-2019, Available :http://www.jetir.org/papers/JETIR1904B79.pdf

"Healthcare Data Modeling in big data analytics using R", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp522-525, April-2019, Available at : http://www.jetir.org/papers/JETIR1904B79.pdf